{"id":1092,"date":"2026-01-16T14:37:41","date_gmt":"2026-01-16T04:37:41","guid":{"rendered":"https:\/\/archive4ones.com\/2ndstudy\/?p=1092"},"modified":"2026-01-16T14:37:41","modified_gmt":"2026-01-16T04:37:41","slug":"year11-math-2-1-6-univariate-data-analysis","status":"publish","type":"post","link":"https:\/\/archive4ones.com\/2ndstudy\/?p=1092","title":{"rendered":"Year11-MATH-2-1-6 Univariate Data Analysis"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">In Year 11 Mathematics, Univariate Data Analysis involves exploring and describing characteristics of one variable at a time, using tools like frequency tables, histograms, box plots, measures of center (mean, median, mode), and spread (range, interquartile range, standard deviation) to understand its distribution, shape, location, and identify patterns or outliers, forming the foundation before looking at relationships between variables.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code><strong>Key Concepts &amp; Techniques<\/strong><\/code><code>:<\/code><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>What it is:<\/strong>&nbsp;Analyzing single data sets (e.g., heights of students, number of siblings, test scores) to understand patterns within that variable.<\/li>\n\n\n\n<li><strong>Data Types:<\/strong>&nbsp;Working with both&nbsp;<strong>categorical<\/strong>&nbsp;(e.g., favourite colour, gender) and&nbsp;<strong>numerical<\/strong>&nbsp;(discrete\/continuous, e.g., age, height) data.<\/li>\n\n\n\n<li><strong>Displaying Data:<\/strong>\n<ul class=\"wp-block-list\">\n<li><strong><u><strong>Frequency Tables<\/strong><\/u>:<\/strong>&nbsp;Organizing counts and percentages of data values or grouped intervals.<\/li>\n\n\n\n<li><strong><u><strong>Histograms<\/strong><\/u>&nbsp;&amp;&nbsp;<u><strong>Column Charts<\/strong><\/u>:<\/strong>&nbsp;Visualizing frequency distributions for numerical and categorical data, respectively.<\/li>\n\n\n\n<li><strong><u><strong>Stem-and-Leaf Plots<\/strong><\/u>:<\/strong>&nbsp;Showing individual data points while preserving order, useful for seeing distribution and outliers.<\/li>\n\n\n\n<li><strong><u><strong>Box Plots<\/strong><\/u>&nbsp;(Box-and-Whisker Plots):<\/strong>&nbsp;Displaying the five-number summary (min, Q1, median, Q3, max) and highlighting outliers.<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Describing Data:<\/strong>\n<ul class=\"wp-block-list\">\n<li><strong>Measures of Centre:<\/strong>&nbsp;Mean (average), Median (middle value), Mode (most frequent).<\/li>\n\n\n\n<li><strong>Measures of Spread:<\/strong>&nbsp;Range, Interquartile Range (IQR), Variance, Standard Deviation (how spread out the data is).<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong><u><strong>The Statistical Investigation Process<\/strong><\/u>:<\/strong>&nbsp;Using univariate analysis as a fundamental step to describe data before moving to more complex bivariate (two-variable) analysis, helping to form research questions and understand data quality.&nbsp;<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Why it&#8217;s important for Year 11:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">It builds foundational skills in data interpretation, allowing students to:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Understand the basic properties of a data set.<\/li>\n\n\n\n<li>Identify unusual data points (outliers).<\/li>\n\n\n\n<li>Prepare data for more advanced analyses, like correlation or regression (bivariate data).&nbsp;<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><code><strong>Frequency tables<\/strong><\/code> in 11th-grade mathematics are&nbsp;&nbsp;univariate data analysis&nbsp;to organize and summarize data collected on a single variable. They display the frequency (count) of each value or range of values within a dataset, providing a clear picture of how often different outcomes occur.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Key concepts and components include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Frequency:<\/strong>\u00a0The number of times a particular value or category appears in a dataset.<\/li>\n\n\n\n<li><strong>Categories or Classes:<\/strong>\u00a0Data is grouped into specific categories or intervals (called class intervals, especially for continuous data).<\/li>\n\n\n\n<li><strong>Tally Marks (Optional):<\/strong>\u00a0A preliminary method for counting occurrences before converting them into numerical frequencies.<\/li>\n\n\n\n<li><strong>Relative Frequency:<\/strong>\u00a0The proportion or percentage of times a value occurs, calculated by dividing the frequency of a category by the total number of data points.<\/li>\n\n\n\n<li><strong>Cumulative Frequency:<\/strong>\u00a0The running total of frequencies, showing the number of data points up to a particular value or class interval.<\/li>\n\n\n\n<li><strong>Data Visualization:<\/strong>\u00a0Frequency tables are foundational for creating visual representations like\u00a0histograms, bar charts, and frequency polygons, which help interpret data distributions.\u00a0<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><br><code><strong>Histograms<\/strong><\/code><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Data Type<\/strong>: Histograms are used to display the frequency distribution of&nbsp;<strong>continuous numerical data<\/strong>&nbsp;(quantitative data), such as height, weight, age, or test scores.<\/li>\n\n\n\n<li><strong>Appearance<\/strong>: The columns (bars) in a histogram are drawn adjacent to each other,&nbsp;<strong>with no gaps<\/strong>&nbsp;between them, to emphasize that the data flows along a continuous range. The horizontal axis (x-axis) is a continuous number line divided into intervals, known as &#8220;bins&#8221; or &#8220;classes&#8221;.<\/li>\n\n\n\n<li><strong>Purpose<\/strong>: They help visualize the shape, center, and spread of the data distribution, allowing for the identification of patterns like skewness, symmetry, or the presence of outliers or multiple peaks (bimodal distribution).&nbsp;<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Column Charts (Bar Graphs)<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Data Type<\/strong>: Column charts (or bar graphs) are used to represent&nbsp;<strong>categorical or discrete data<\/strong>, where each bar represents a distinct, separate category (qualitative data), such as favorite colors, types of fruit, or different store locations.<\/li>\n\n\n\n<li><strong>Appearance<\/strong>: The bars in a column chart have&nbsp;<strong>gaps<\/strong>&nbsp;between them, which reinforces the idea that the categories are independent and discrete, with no numerical relationship between them. The order of the bars can often be rearranged (e.g., alphabetically or by size) without affecting the meaning of the data.<\/li>\n\n\n\n<li><strong>Purpose<\/strong>: They are primarily used for&nbsp;<strong>comparing<\/strong>&nbsp;values across different categories to see which category is the largest or smallest.&nbsp;<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><code><\/code><strong>Measures of Centre<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Measures of centre, in 11th grade univariate data analysis, are\u00a0\u00a0<strong>central position or typical value\u00a0<\/strong>of a dataset. These measures help in summarizing the data and identifying where most values lie.\u00a0<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The primary measures of centre taught at this level are the:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Mean<\/strong>: The arithmetic average, calculated by summing all the values in a dataset and dividing by the number of values. It is sensitive to extreme values (outliers).<\/li>\n\n\n\n<li><strong>Median<\/strong>: The middle value of a dataset when it is ordered from least to greatest. If there is an even number of values, the median is the average of the two middle numbers. It is less affected by outliers than the mean.<\/li>\n\n\n\n<li><strong>Mode<\/strong>: The value that appears most frequently in a dataset. A dataset may have one mode (unimodal), more than one mode (multimodal), or no mode at all if all values appear with the same frequency.&nbsp;<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Understanding these measures is crucial for interpreting the distribution and characteristics of statistical data.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code><strong>Measures of spread (or dispersion)&nbsp;&nbsp;<\/strong><\/code><code>.<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code>In 11th-grade mathematics, the key measures of spread typically covered include :\u00a0<\/code><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Range:<\/strong>&nbsp;The simplest measure, calculated as the difference between the maximum and minimum values in a dataset.<\/li>\n\n\n\n<li><strong>Interquartile Range (IQR):<\/strong>&nbsp;The difference between the upper quartile (Q3) and the lower quartile (Q1), representing the spread of the middle 50% of the data.<\/li>\n\n\n\n<li><strong>Variance:<\/strong>&nbsp;A measure of the average squared deviation of each data point from the mean, indicating how far each number is from the mean.<\/li>\n\n\n\n<li><strong>Standard Deviation<\/strong><strong> (SD)<\/strong><strong>:<\/strong>&nbsp;The square root of the variance, providing a measure of spread in the same units as the original data, making it easier to interpret.&nbsp;<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Standard deviation is&nbsp;<strong>a statistical measure used in univariate data analysis to quantify the amount of variation or dispersion within a set of data points<\/strong>&nbsp;. In 11th-grade mathematics, it is typically taught as a way to understand how spread out the numbers in a dataset are from their average (mean) .&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Key Concepts<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Measure of Spread:<\/strong>&nbsp;Standard deviation is a key indicator of the data&#8217;s distribution. A&nbsp;<em>low<\/em>&nbsp;standard deviation indicates that most values are clustered closely around the mean, while a&nbsp;<em>high<\/em>&nbsp;standard deviation suggests the values are widely spread out .<\/li>\n\n\n\n<li><strong>Relationship to the Mean:<\/strong>&nbsp;It provides context for the mean. Knowing the average height of students in a class is more meaningful if you also know the standard deviation; it tells you if most students are close to that average height or if there are many very tall and very short students .<\/li>\n\n\n\n<li><strong>Square Root of Variance:<\/strong>&nbsp;Mathematically, the standard deviation is defined as the square root of the variance. Variance measures the average squared difference from the mean, and taking the square root brings the measure back to the original units of the data .&nbsp;<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Calculation (Simplified Steps)<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The calculation of the standard deviation involves several steps :<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Find the Mean:<\/strong>&nbsp;Calculate the average of the dataset.<\/li>\n\n\n\n<li><strong>Calculate Deviations:<\/strong>&nbsp;Subtract the mean from each data point.<\/li>\n\n\n\n<li><strong>Square the Deviations:<\/strong>&nbsp;Square each result from step 2 to eliminate negative numbers.<\/li>\n\n\n\n<li><strong>Find the Variance:<\/strong>&nbsp;Calculate the mean of these squared deviations.<\/li>\n\n\n\n<li><strong>Take the Square Root:<\/strong>&nbsp;The square root of the variance is <strong>the standard deviation<\/strong>.&nbsp;<\/li>\n<\/ol>\n\n\n\n<p class=\"wp-block-paragraph\">In 11th grade, students often learn both how to perform this calculation manually and how to use a calculator&#8217;s built-in statistical functions to find it efficiently.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Standard deviation is an indicator of data variability. It is calculated by squaring the difference between each data point and the mean, summing the sum, dividing by the number of data points (variance), and then taking the square root. Using the example of class heights, it quantifies how far each student&#8217;s height varies from the mean (variance). A larger variance indicates more tall and short students, while a smaller variance indicates that everyone is closer to the mean.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">How to Calculate Standard Deviation (Example: Class A, Class B)<br>[Example Data]<br>Class A (average 170cm): 160cm, 170cm, 180cm<br>Class B (average 170cm): 165cm, 170cm, 175cm<br>Note: Both classes have a mean of 170cm, but the variance is different.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Calculate the difference (deviation) from the mean.<br>Class A: (160-170=-10), (170-170=0), (180-170=10)<br>Class B: (165-170=-5), (170-170=0), (175-170=5)<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Squaring the deviations.<br>Class A: <math data-latex=\"(-10)^2 =100, 0^2=0, 10^2 = 100\"><semantics><mrow><mo form=\"prefix\" stretchy=\"false\">(<\/mo><mo form=\"prefix\" stretchy=\"false\">\u2212<\/mo><mn>10<\/mn><msup><mo form=\"postfix\" stretchy=\"false\">)<\/mo><mn>2<\/mn><\/msup><mo>=<\/mo><mn>100<\/mn><mo separator=\"true\">,<\/mo><msup><mn>0<\/mn><mn>2<\/mn><\/msup><mo>=<\/mo><mn>0<\/mn><mo separator=\"true\">,<\/mo><msup><mn>10<\/mn><mn>2<\/mn><\/msup><mo>=<\/mo><mn>100<\/mn><\/mrow><annotation encoding=\"application\/x-tex\">(-10)^2 =100, 0^2=0, 10^2 = 100<\/annotation><\/semantics><\/math><br>Class B: <math data-latex=\"(-5)^2=25, 0^2=0, 5^2=25\"><semantics><mrow><mo form=\"prefix\" stretchy=\"false\">(<\/mo><mo form=\"prefix\" stretchy=\"false\">\u2212<\/mo><mn>5<\/mn><msup><mo form=\"postfix\" stretchy=\"false\">)<\/mo><mn>2<\/mn><\/msup><mo>=<\/mo><mn>25<\/mn><mo separator=\"true\">,<\/mo><msup><mn>0<\/mn><mn>2<\/mn><\/msup><mo>=<\/mo><mn>0<\/mn><mo separator=\"true\">,<\/mo><msup><mn>5<\/mn><mn>2<\/mn><\/msup><mo>=<\/mo><mn>25<\/mn><\/mrow><annotation encoding=\"application\/x-tex\">(-5)^2=25, 0^2=0, 5^2=25<\/annotation><\/semantics><\/math><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Calculate the sum of the squared deviations and divide by the number of data points (3) to calculate the variance.<br>Class A: (100+0+100) \u00f7 3 = 200 \u00f7 3 = 66.67 (variance).<br>Class B: (25+0+25) \u00f7 3 = 50 \u00f7 3 = 16.67 (Variance)<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Calculate the square root of the variance (standard deviation)<br>Class A: <math data-latex=\"\\sqrt{66.67}\"><semantics><msqrt><mn>66.67<\/mn><\/msqrt><annotation encoding=\"application\/x-tex\">\\sqrt{66.67}<\/annotation><\/semantics><\/math>\u2248 8.16 (standard deviation)<br>Class B: <math data-latex=\"\\sqrt{16.67}\"><semantics><msqrt><mn>16.67<\/mn><\/msqrt><annotation encoding=\"application\/x-tex\">\\sqrt{16.67}<\/annotation><\/semantics><\/math>\u2248 4.08 (standard deviation)<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">What we can learn from the results<br>Class A has a larger standard deviation than Class B (approximately 8.16 vs. approximately 4.08), indicating greater variation in height (more tall and short children).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Standard Deviation and Deviation Score<br>Standard deviation is the basis for calculating deviation scores. A deviation score of 60 is the mean + one standard deviation, and a deviation score of 40 is the mean &#8211; one standard deviation.<br>In this way, standard deviation allows us to specifically grasp the spread (dispersion) of data, which cannot be determined by the mean alone.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">To calculate a deviation value from standard deviation (SD), use the formula &#8220;(individual score &#8211; average score) \u00f7 standard deviation x 10 + 50.&#8221; This formula calculates the standard deviation value by calculating how many standard deviations your score is away from the average score (50), multiplying that by 10, and adding 50. The smaller the dispersion (standard deviation) in the distribution of test scores, the more a small difference from the average score will be reflected in the deviation value.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Deviation Value Calculation Formula<\/strong><br>Deviation Value = (your score &#8211; average score) \u00f7 standard deviation \u00d7 10 + 50<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Calculation Procedure and Example<br>Check your score, average score, and standard deviation.<br>Calculate the difference (deviation) between your score and the average score.<br>Divide this difference by the standard deviation to find the standardized value (normalized variate) (how many standard deviations your score is from the mean).<br>Multiply this value by 10 and add 50.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Example:<br>Your score: 80<br>Average score: 60<br>Standard deviation: 20<br>Deviation: 80 &#8211; 60 = 20<br>Standardization: 20 \u00f7 20 = 1<br>Standard deviation: 1 \u00d7 10 + 50 = 60<br>In this example, the standard deviation is 60. Since your score is 20 points higher (one standard deviation higher) than the average score (60), the standard deviation is 50 + 10 = 60.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">********************************************************************************************************************************************************<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code>11<\/code><code>\u5e74\u751f \u6570\u5b66 <\/code><code>2-1-6 <\/code><code>\u79d1\u76ee<\/code><code>2<\/code><code>\uff1a\u4e00\u822c \u30e6\u30cb\u30c3\u30c8<\/code><code>2 \u2013 <\/code><code>\u7b2c<\/code><code>6<\/code><code>\u7ae0\uff1a\u5358\u5909\u91cf\u30c7\u30fc\u30bf\u5206\u6790<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code>11<\/code><code>\u5e74\u751f\u306e\u6570\u5b66\u3067\u306f\u3001\u5358\u5909\u91cf\u30c7\u30fc\u30bf\u5206\u6790\u3067\u306f\u3001\u5ea6\u6570\u5206\u5e03\u8868\u3001\u30d2\u30b9\u30c8\u30b0\u30e9\u30e0\u3001\u7bb1\u3072\u3052\u56f3\u3001\u4e2d\u5fc3\u5024\uff08\u5e73\u5747\u5024\u3001\u4e2d\u592e\u5024\u3001\u6700\u983b\u5024\uff09\u3001\u5e83\u304c\u308a\uff08\u7bc4\u56f2\u3001\u56db\u5206\u4f4d\u7bc4\u56f2\u3001\u6a19\u6e96\u504f\u5dee\uff09\u306a\u3069\u306e\u30c4\u30fc\u30eb\u3092\u7528\u3044\u3066\u3001\u4e00\u5ea6\u306b<\/code><code>1<\/code><code>\u3064\u306e\u5909\u6570\u306e\u7279\u6027\u3092\u63a2\u7d22\u30fb\u8a18\u8ff0\u3057\u3001\u305d\u306e\u5206\u5e03\u3001\u5f62\u72b6\u3001\u4f4d\u7f6e\u3092\u7406\u89e3\u3057\u3001\u30d1\u30bf\u30fc\u30f3\u3084\u5916\u308c\u5024\u3092\u7279\u5b9a\u3057\u307e\u3059\u3002\u3053\u308c\u306f\u3001\u5909\u6570\u9593\u306e\u95a2\u4fc2\u6027\u3092\u8003\u5bdf\u3059\u308b\u524d\u306e\u57fa\u790e\u3068\u306a\u308a\u307e\u3059\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code>\u4e3b\u8981\u306a\u6982\u5ff5\u3068\u624b\u6cd5\uff1a<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code>\u2022 <\/code><code>\u6982\u8981\uff1a<\/code><code>\u5358\u4e00\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\uff08\u4f8b\uff1a\u751f\u5f92\u306e\u8eab\u9577\u3001\u5144\u5f1f\u59c9\u59b9\u306e\u6570\u3001\u30c6\u30b9\u30c8\u306e\u70b9\u6570\uff09\u3092\u5206\u6790\u3057\u3001\u305d\u306e\u5909\u6570\u5185\u306e\u30d1\u30bf\u30fc\u30f3\u3092\u7406\u89e3\u3059\u308b\u3053\u3068\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code>\u2022 <\/code><code>\u30c7\u30fc\u30bf\u306e\u7a2e\u985e\uff1a<\/code><code>\u30ab\u30c6\u30b4\u30ea\u30c7\u30fc\u30bf\uff08\u4f8b\uff1a\u597d\u304d\u306a\u8272\u3001\u6027\u5225\uff09\u3068\u6570\u5024\u30c7\u30fc\u30bf\uff08\u96e2\u6563\u30fb\u9023\u7d9a\u3001\u4f8b\uff1a\u5e74\u9f62\u3001\u8eab\u9577\uff09\u306e\u4e21\u65b9\u3092\u6271\u3044\u307e\u3059\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code>\u2022 <\/code><code>\u30c7\u30fc\u30bf\u306e\u8868\u793a\uff1a<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code>\u25e6 <\/code><code>\u5ea6\u6570\u5206\u5e03\u8868\uff1a<\/code><code>\u30c7\u30fc\u30bf\u5024\u307e\u305f\u306f\u30b0\u30eb\u30fc\u30d7\u5316\u3055\u308c\u305f\u533a\u9593\u306e\u500b\u6570\u3068\u5272\u5408\u3092\u6574\u7406\u3057\u307e\u3059\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code>\u25e6 <\/code><code>\u30d2\u30b9\u30c8\u30b0\u30e9\u30e0\u3068\u7e26\u68d2\u30b0\u30e9\u30d5\uff1a<\/code><code>\u6570\u5024\u30c7\u30fc\u30bf\u3068\u30ab\u30c6\u30b4\u30ea\u30c7\u30fc\u30bf\u306e\u5ea6\u6570\u5206\u5e03\u3092\u305d\u308c\u305e\u308c\u8996\u899a\u5316\u3057\u307e\u3059\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code>\u25e6 <\/code><code>\u5e79\u8449\u56f3\uff1a<\/code><code>\u9806\u5e8f\u3092\u7dad\u6301\u3057\u306a\u304c\u3089\u500b\u3005\u306e\u30c7\u30fc\u30bf\u30dd\u30a4\u30f3\u30c8\u3092\u8868\u793a\u3057\u307e\u3059\u3002\u5206\u5e03\u3084\u5916\u308c\u5024\u3092\u78ba\u8a8d\u3059\u308b\u306e\u306b\u5f79\u7acb\u3061\u307e\u3059\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code>\u25e6 <\/code><code>\u7bb1\u3072\u3052\u56f3\uff1a<\/code><code>5<\/code><code>\u3064\u306e\u6570\u5024\u306e\u8981\u7d04\uff08\u6700\u5c0f\u5024\u3001\u7b2c<\/code><code>1<\/code><code>\u56db\u5206\u4f4d\u7bc4\u56f2\u3001\u4e2d\u592e\u5024\u3001\u7b2c<\/code><code>3<\/code><code>\u56db\u5206\u4f4d\u7bc4\u56f2\u3001\u6700\u5927\u5024\uff09\u3092\u8868\u793a\u3057\u3001\u5916\u308c\u5024\u3092\u5f37\u8abf\u8868\u793a\u3057\u307e\u3059\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code>\u2022 <\/code><code>\u30c7\u30fc\u30bf\u306e\u8aac\u660e\uff1a<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code>\u25e6 <\/code><code>\u4e2d\u5fc3\u306e\u5c3a\u5ea6\uff1a<\/code><code>\u5e73\u5747\u5024\uff08\u5e73\u5747\uff09\u3001\u4e2d\u592e\u5024\uff08\u4e2d\u592e\u5024\uff09\u3001\u6700\u983b\u5024\uff08\u6700\u983b\u5024\uff09<\/code><code>\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code>\u25e6 <\/code><code>\u5e83\u304c\u308a\u306e\u5c3a\u5ea6\uff1a<\/code><code>\u7bc4\u56f2\u3001\u56db\u5206\u4f4d\u7bc4\u56f2\uff08<\/code><code>IQR<\/code><code>\uff09\u3001\u5206\u6563\u3001\u6a19\u6e96\u504f\u5dee\uff08\u30c7\u30fc\u30bf\u306e\u5e83\u304c\u308a\u5177\u5408\uff09<\/code><code>\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code>\u2022 <\/code><code>\u7d71\u8a08\u8abf\u67fb\u30d7\u30ed\u30bb\u30b9\uff1a<\/code><code>\u3088\u308a\u8907\u96d1\u306a\u4e8c\u5909\u91cf\u89e3\u6790\u306b\u9032\u3080\u524d\u306b\u3001\u5358\u5909\u91cf\u89e3\u6790\u3092\u30c7\u30fc\u30bf\u8a18\u8ff0\u306e\u57fa\u672c\u30b9\u30c6\u30c3\u30d7\u3068\u3057\u3066\u7528\u3044\u3001\u7814\u7a76\u8ab2\u984c\u306e\u8a2d\u5b9a\u3068\u30c7\u30fc\u30bf\u54c1\u8cea\u306e\u7406\u89e3\u3092\u652f\u63f4\u3057\u307e\u3059\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code>11<\/code><code>\u5e74\u751f\u306b\u3068\u3063\u3066\u91cd\u8981\u306a\u7406\u7531\uff1a<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code>\u30c7\u30fc\u30bf\u89e3\u91c8\u306e\u57fa\u790e\u30b9\u30ad\u30eb\u3092\u69cb\u7bc9\u3057\u3001\u751f\u5f92\u306f\u4ee5\u4e0b\u306e\u3053\u3068\u304c\u53ef\u80fd\u306b\u306a\u308a\u307e\u3059\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code>\u2022 <\/code><code>\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u57fa\u672c\u7684\u306a\u7279\u6027\u3092\u7406\u89e3\u3059\u308b\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code>\u2022 <\/code><code>\u7570\u5e38\u306a\u30c7\u30fc\u30bf\u30dd\u30a4\u30f3\u30c8\uff08\u5916\u308c\u5024\uff09\u3092\u7279\u5b9a\u3059\u308b\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code>\u2022 <\/code><code>\u76f8\u95a2\u5206\u6790\u3084\u56de\u5e30\u5206\u6790\uff08\u4e8c\u5909\u91cf\u30c7\u30fc\u30bf\uff09\u306a\u3069\u306e\u3088\u308a\u9ad8\u5ea6\u306a\u5206\u6790\u306e\u305f\u3081\u306b\u30c7\u30fc\u30bf\u3092\u6e96\u5099\u3059\u308b\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code><strong>&gt;&gt;\u5ea6\u6570\u5206\u5e03\u8868 <\/strong>:<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code>\u5358\u5909\u91cf\u30c7\u30fc\u30bf\u5206\u6790\u306b\u304a\u3044\u3066\u3001\u5358\u4e00\u306e\u5909\u6570\u306b\u3064\u3044\u3066\u53ce\u96c6\u3055\u308c\u305f\u30c7\u30fc\u30bf\u3092\u6574\u7406\u30fb\u8981\u7d04\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u308b\u30c4\u30fc\u30eb\u3067\u3059\u3002\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e\u5404\u5024\u307e\u305f\u306f\u5024\u306e\u7bc4\u56f2\u306e\u983b\u5ea6\uff08\u30ab\u30a6\u30f3\u30c8\uff09\u3092\u8868\u793a\u3057\u3001\u7570\u306a\u308b\u7d50\u679c\u304c\u3069\u306e\u7a0b\u5ea6\u983b\u7e41\u306b\u767a\u751f\u3059\u308b\u304b\u3092\u660e\u78ba\u306b\u793a\u3057\u307e\u3059\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code>\u4e3b\u8981\u306a\u6982\u5ff5\u3068\u69cb\u6210\u8981\u7d20\u306f\u4ee5\u4e0b\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code><strong>\u983b\u5ea6<\/strong><\/code><code>\uff1a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u3067\u7279\u5b9a\u306e\u5024\u307e\u305f\u306f\u30ab\u30c6\u30b4\u30ea\u304c\u51fa\u73fe\u3059\u308b\u56de\u6570\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code><strong>\u30ab\u30c6\u30b4\u30ea\u307e\u305f\u306f\u30af\u30e9\u30b9<\/strong><\/code><code>\uff1a\u30c7\u30fc\u30bf\u306f\u7279\u5b9a\u306e\u30ab\u30c6\u30b4\u30ea\u307e\u305f\u306f\u9593\u9694\uff08\u7279\u306b\u9023\u7d9a\u30c7\u30fc\u30bf\u306e\u5834\u5408\u306f\u30af\u30e9\u30b9\u9593\u9694\u3068\u547c\u3070\u308c\u307e\u3059\uff09\u306b\u30b0\u30eb\u30fc\u30d7\u5316\u3055\u308c\u307e\u3059\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code><strong>\u96c6\u8a08\u30de\u30fc\u30af\uff08\u30aa\u30d7\u30b7\u30e7\u30f3\uff09<\/strong><\/code><code>\uff1a\u6570\u5024\u983b\u5ea6\u306b\u5909\u63db\u3059\u308b\u524d\u306b\u3001\u51fa\u73fe\u56de\u6570\u3092\u6570\u3048\u308b\u305f\u3081\u306e\u4e88\u5099\u7684\u306a\u65b9\u6cd5\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code><strong>\u76f8\u5bfe\u983b\u5ea6<\/strong><\/code><code>\uff1a\u5024\u304c\u51fa\u73fe\u3059\u308b\u5272\u5408\u307e\u305f\u306f\u30d1\u30fc\u30bb\u30f3\u30c6\u30fc\u30b8\u3002\u30ab\u30c6\u30b4\u30ea\u306e\u983b\u5ea6\u3092\u30c7\u30fc\u30bf\u30dd\u30a4\u30f3\u30c8\u306e\u7dcf\u6570\u3067\u5272\u308b\u3053\u3068\u306b\u3088\u3063\u3066\u7b97\u51fa\u3055\u308c\u307e\u3059\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code><strong>\u7d2f\u7a4d\u5ea6\u6570<\/strong><\/code><code>\uff1a\u5ea6\u6570\u306e\u7d2f\u8a08\u3002\u7279\u5b9a\u306e\u5024\u307e\u305f\u306f\u968e\u7d1a\u533a\u9593\u307e\u3067\u306e\u30c7\u30fc\u30bf\u30dd\u30a4\u30f3\u30c8\u306e\u6570\u3092\u793a\u3057\u307e\u3059\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code><strong>\u30c7\u30fc\u30bf\u306e\u8996\u899a\u5316<\/strong><\/code><code>\uff1a\u5ea6\u6570\u8868\u306f\u3001\u30d2\u30b9\u30c8\u30b0\u30e9\u30e0\u3001\u68d2\u30b0\u30e9\u30d5\u3001\u5ea6\u6570\u30dd\u30ea\u30b4\u30f3\u306a\u3069\u306e\u8996\u899a\u7684\u8868\u73fe\u3092\u4f5c\u6210\u3059\u308b\u305f\u3081\u306e\u57fa\u790e\u3067\u3042\u308a\u3001\u30c7\u30fc\u30bf\u5206\u5e03\u306e\u89e3\u91c8\u306b\u5f79\u7acb\u3061\u307e\u3059\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code><strong>&gt;&gt; <\/strong><\/code><code><strong>\u30d2\u30b9\u30c8\u30b0\u30e9\u30e0<\/strong><\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code><strong>\u30c7\u30fc\u30bf\u306e\u7a2e\u985e<\/strong><\/code><code>\uff1a\u30d2\u30b9\u30c8\u30b0\u30e9\u30e0\u306f\u3001\u8eab\u9577\u3001\u4f53\u91cd\u3001\u5e74\u9f62\u3001\u30c6\u30b9\u30c8\u306e\u70b9\u6570\u306a\u3069\u3001\u9023\u7d9a\u3057\u305f\u6570\u5024\u30c7\u30fc\u30bf\uff08\u5b9a\u91cf\u30c7\u30fc\u30bf\uff09\u306e\u983b\u5ea6\u5206\u5e03\u3092\u8868\u3059\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code><strong>\u5916\u89b3<\/strong><\/code><code>\uff1a\u30d2\u30b9\u30c8\u30b0\u30e9\u30e0\u306e\u7e26\u68d2\uff08\u30d0\u30fc\uff09\u306f\u3001\u30c7\u30fc\u30bf\u304c\u9023\u7d9a\u3057\u305f\u7bc4\u56f2\u306b\u6cbf\u3063\u3066\u6d41\u308c\u3066\u3044\u308b\u3053\u3068\u3092\u5f37\u8abf\u3059\u308b\u305f\u3081\u306b\u3001\u4e92\u3044\u306b\u9699\u9593\u306a\u304f\u96a3\u63a5\u3057\u3066\u63cf\u753b\u3055\u308c\u307e\u3059\u3002\u6a2a\u8ef8\uff08<\/code><code>X<\/code><code>\u8ef8\uff09\u306f\u3001\u300c\u30d3\u30f3\u300d\u307e\u305f\u306f\u300c\u30af\u30e9\u30b9\u300d\u3068\u547c\u3070\u308c\u308b\u533a\u9593\u306b\u5206\u5272\u3055\u308c\u305f\u9023\u7d9a\u3057\u305f\u6570\u5024\u7dda\u3067\u3059\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code><strong>\u76ee\u7684<\/strong><\/code><code>\uff1a\u30d2\u30b9\u30c8\u30b0\u30e9\u30e0\u306f\u3001\u30c7\u30fc\u30bf\u5206\u5e03\u306e\u5f62\u72b6\u3001\u4e2d\u5fc3\u3001\u5e83\u304c\u308a\u3092\u8996\u899a\u5316\u3059\u308b\u306e\u306b\u5f79\u7acb\u3061\u3001\u6b6a\u5ea6\u3001\u5bfe\u79f0\u6027\u3001\u5916\u308c\u5024\u3084\u8907\u6570\u306e\u30d4\u30fc\u30af\uff08\u4e8c\u5cf0\u6027\u5206\u5e03\uff09\u306e\u5b58\u5728\u306a\u3069\u306e\u30d1\u30bf\u30fc\u30f3\u3092\u8b58\u5225\u3059\u308b\u306e\u306b\u5f79\u7acb\u3061\u307e\u3059\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code><strong>&gt;&gt; <\/strong><\/code><code><strong>\u7e26\u68d2\u30b0\u30e9\u30d5\uff08\u68d2\u30b0\u30e9\u30d5\uff09<\/strong><\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code><strong>\u30c7\u30fc\u30bf\u306e\u7a2e\u985e<\/strong><\/code><code>\uff1a\u7e26\u68d2\u30b0\u30e9\u30d5\uff08\u68d2\u30b0\u30e9\u30d5\uff09\u306f\u3001\u30ab\u30c6\u30b4\u30ea\u30c7\u30fc\u30bf\u307e\u305f\u306f\u96e2\u6563\u30c7\u30fc\u30bf\u3092\u8868\u3059\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002\u5404\u30d0\u30fc\u306f\u3001\u597d\u304d\u306a\u8272\u3001\u679c\u7269\u306e\u7a2e\u985e\u3001\u5e97\u8217\u306e\u6240\u5728\u5730\u306a\u3069\u3001\u660e\u78ba\u306b\u533a\u5225\u3055\u308c\u305f\u30ab\u30c6\u30b4\u30ea\uff08\u5b9a\u6027\u30c7\u30fc\u30bf\uff09\u3092\u8868\u3057\u307e\u3059\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code><strong>\u5916\u89b3<\/strong><\/code><code>\uff1a\u7e26\u68d2\u30b0\u30e9\u30d5\u306e\u68d2\u30b0\u30e9\u30d5\u306b\u306f\u9593\u9694\u304c\u3042\u308a\u3001\u5404\u30ab\u30c6\u30b4\u30ea\u304c\u72ec\u7acb\u3057\u3066\u96e2\u6563\u7684\u3067\u3042\u308a\u3001\u6570\u5024\u7684\u306a\u95a2\u4fc2\u304c\u306a\u3044\u3068\u3044\u3046\u5370\u8c61\u3092\u4e0e\u3048\u307e\u3059\u3002\u68d2\u30b0\u30e9\u30d5\u306e\u9806\u5e8f\u306f\u3001\u30c7\u30fc\u30bf\u306e\u610f\u5473\u306b\u5f71\u97ff\u3092\u4e0e\u3048\u308b\u3053\u3068\u306a\u304f\u3001\u591a\u304f\u306e\u5834\u5408\u3001\u4e26\u3079\u66ff\u3048\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\uff08\u4f8b\uff1a\u30a2\u30eb\u30d5\u30a1\u30d9\u30c3\u30c8\u9806\u3001\u30b5\u30a4\u30ba\u9806\u306a\u3069\uff09\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code>\u76ee\u7684\uff1a\u7e26\u68d2\u30b0\u30e9\u30d5\u306f\u4e3b\u306b\u3001\u7570\u306a\u308b\u30ab\u30c6\u30b4\u30ea\u9593\u3067\u5024\u3092\u6bd4\u8f03\u3057\u3001\u3069\u306e\u30ab\u30c6\u30b4\u30ea\u304c\u6700\u5927\u307e\u305f\u306f\u6700\u5c0f\u3067\u3042\u308b\u304b\u3092\u78ba\u8a8d\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code><strong>&gt;&gt; <\/strong><\/code><code><strong>\u4e2d\u5fc3\u5c3a\u5ea6<\/strong><\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code>11<\/code><code>\u5e74\u751f\u306e\u5358\u5909\u91cf\u30c7\u30fc\u30bf\u5206\u6790\u306b\u304a\u3051\u308b\u4e2d\u5fc3\u5c3a\u5ea6\u3068\u306f\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u4e2d\u5fc3\u4f4d\u7f6e\u307e\u305f\u306f\u5178\u578b\u7684\u306a\u5024\u3092\u8868\u3059\u5358\u4e00\u306e\u5024\u3067\u3059\u3002\u3053\u308c\u3089\u306e\u5c3a\u5ea6\u306f\u3001\u30c7\u30fc\u30bf\u3092\u8981\u7d04\u3057\u3001\u307b\u3068\u3093\u3069\u306e\u5024\u304c\u3069\u3053\u306b\u4f4d\u7f6e\u3057\u3066\u3044\u308b\u304b\u3092\u7279\u5b9a\u3059\u308b\u306e\u306b\u5f79\u7acb\u3061\u307e\u3059\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code>\u3053\u306e\u30ec\u30d9\u30eb\u3067\u6559\u3048\u3089\u308c\u308b\u4e3b\u8981\u306a\u4e2d\u5fc3\u5c3a\u5ea6\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code><strong>\u5e73\u5747\u5024<\/strong><\/code><code>\uff1a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e\u3059\u3079\u3066\u306e\u5024\u3092\u5408\u8a08\u3057\u3001\u5024\u306e\u6570\u3067\u5272\u308b\u3053\u3068\u306b\u3088\u3063\u3066\u7b97\u51fa\u3055\u308c\u308b\u7b97\u8853\u5e73\u5747\u3002\u6975\u7aef\u306a\u5024\uff08\u5916\u308c\u5024\uff09\u306e\u5f71\u97ff\u3092\u53d7\u3051\u3084\u3059\u3044\u3067\u3059\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code><strong>\u4e2d\u592e\u5024<\/strong><\/code><code>\uff1a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u6700\u5c0f\u304b\u3089\u6700\u5927\u306e\u9806\u306b\u4e26\u3079\u305f\u3068\u304d\u306e\u4e2d\u592e\u306e\u5024\u3002\u5024\u304c\u5076\u6570\u500b\u306e\u5834\u5408\u3001\u4e2d\u592e\u5024\u306f\u4e2d\u592e\u306e<\/code><code>2<\/code><code>\u3064\u306e\u6570\u5024\u306e\u5e73\u5747\u3067\u3059\u3002\u5e73\u5747\u5024\u3088\u308a\u3082\u5916\u308c\u5024\u306e\u5f71\u97ff\u3092\u53d7\u3051\u306b\u304f\u3044\u3067\u3059\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code><strong>\u6700\u983b\u5024<\/strong><\/code><code>\uff1a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3067\u6700\u3082\u983b\u7e41\u306b\u51fa\u73fe\u3059\u308b\u5024\u3002\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u306f\u3001<\/code><code>1<\/code><code>\u3064\u306e\u6700\u983b\u5024\uff08\u5358\u5cf0\u6027\uff09\u3001\u8907\u6570\u306e\u6700\u983b\u5024\uff08\u591a\u5cf0\u6027\uff09\u3001\u307e\u305f\u306f\u3059\u3079\u3066\u306e\u5024\u304c\u540c\u3058\u983b\u5ea6\u3067\u51fa\u73fe\u3059\u308b\u5834\u5408\u306f\u6700\u983b\u5024\u304c\u5b58\u5728\u3057\u306a\u3044\u5834\u5408\u304c\u3042\u308a\u307e\u3059\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code>\u3053\u308c\u3089\u306e\u5c3a\u5ea6\u3092\u7406\u89e3\u3059\u308b\u3053\u3068\u306f\u3001\u7d71\u8a08\u30c7\u30fc\u30bf\u306e\u5206\u5e03\u3068\u7279\u6027\u3092\u89e3\u91c8\u3059\u308b\u4e0a\u3067\u975e\u5e38\u306b\u91cd\u8981\u3067\u3059\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code><strong>\u5e83\u304c\u308a\uff08\u307e\u305f\u306f\u6563\u5e03\u5ea6\uff09\u306e\u5c3a\u5ea6<\/strong><\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code>\u5358\u5909\u91cf\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e\u30c7\u30fc\u30bf\u70b9\u304c\u4e2d\u5fc3\u4ed8\u8fd1\u3067\u3069\u306e\u3088\u3046\u306b\u5206\u5e03\u3057\u3066\u3044\u308b\u304b\u3001\u307e\u305f\u306f\u3069\u306e\u3088\u3046\u306b\u3070\u3089\u3064\u3044\u3066\u3044\u308b\u304b\u3092\u8868\u3057\u307e\u3059\u3002<\/code><code>11<\/code><code>\u5e74\u751f\u306e\u6570\u5b66\u3067\u4e00\u822c\u7684\u306b\u6271\u308f\u308c\u308b\u5e83\u304c\u308a\u306e\u4e3b\u8981\u306a\u5c3a\u5ea6\u306b\u306f\u3001\u4ee5\u4e0b\u306e\u3082\u306e\u304c\u3042\u308a\u307e\u3059 \u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code><strong>\u7bc4\u56f2<\/strong><\/code><code>\uff1a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e\u6700\u5927\u5024\u3068\u6700\u5c0f\u5024\u306e\u5dee\u3068\u3057\u3066\u8a08\u7b97\u3055\u308c\u308b\u6700\u3082\u5358\u7d14\u306a\u5c3a\u5ea6 \u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code><strong>\u56db\u5206\u4f4d\u7bc4\u56f2<\/strong><\/code><code>\uff08<\/code><code>IQR<\/code><code>\uff09\uff1a\u4e0a\u4f4d\u56db\u5206\u4f4d\uff08<\/code><code>Q3<\/code><code>\uff09\u3068\u4e0b\u4f4d\u56db\u5206\u4f4d\uff08<\/code><code>Q1<\/code><code>\uff09\u306e\u5dee\u3067\u3001\u30c7\u30fc\u30bf\u306e\u4e2d\u592e<\/code><code>50%<\/code><code>\u306e\u5e83\u304c\u308a\u3092\u8868\u3057\u307e\u3059 \u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code><strong>\u5206\u6563<\/strong><\/code><code>\uff1a\u5404\u30c7\u30fc\u30bf\u70b9\u306e\u5e73\u5747\u304b\u3089\u306e\u504f\u5dee\u306e\u4e8c\u4e57\u5e73\u5747\u5024\u3067\u3001\u5404\u6570\u5024\u304c\u5e73\u5747\u304b\u3089\u3069\u308c\u3060\u3051\u96e2\u308c\u3066\u3044\u308b\u304b\u3092\u793a\u3057\u307e\u3059 \u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code><strong>\u6a19\u6e96\u504f\u5dee<\/strong><\/code><code>\uff1a\u5206\u6563\u306e\u5e73\u65b9\u6839\u3067\u3001\u5143\u306e\u30c7\u30fc\u30bf\u3068\u540c\u3058\u5358\u4f4d\u3067\u5e83\u304c\u308a\u306e\u5c3a\u5ea6\u3092\u63d0\u4f9b\u3057\u3001\u89e3\u91c8\u3092\u5bb9\u6613\u306b\u3057\u307e\u3059 \u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code>\u6a19\u6e96\u504f\u5dee\u306f\u3001\u5358\u5909\u91cf\u30c7\u30fc\u30bf\u5206\u6790\u306b\u304a\u3044\u3066\u3001\u30c7\u30fc\u30bf\u30dd\u30a4\u30f3\u30c8\u96c6\u5408\u5185\u306e\u5909\u52d5\u307e\u305f\u306f\u5206\u6563\u306e\u5927\u304d\u3055\u3092\u5b9a\u91cf\u5316\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u308b\u7d71\u8a08\u7684\u5c3a\u5ea6\u3067\u3059\u3002\u9ad8\u6821<\/code><code>2<\/code><code>\u5e74\u751f\uff08<\/code><code>11<\/code><code>\u5e74\u751f\uff09\u306e\u6570\u5b66\u3067\u306f\u3001\u901a\u5e38\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e\u6570\u5024\u304c\u5e73\u5747\u5024\u304b\u3089\u3069\u306e\u7a0b\u5ea6\u5e83\u304c\u3063\u3066\u3044\u308b\u304b\u3092\u7406\u89e3\u3059\u308b\u65b9\u6cd5\u3068\u3057\u3066\u6559\u3048\u3089\u308c\u307e\u3059\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code>\u4e3b\u8981\u6982\u5ff5<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code>\u2022 <\/code><code>\u5e83\u304c\u308a\u306e\u5c3a\u5ea6\uff1a\u6a19\u6e96\u504f\u5dee\u306f\u3001\u30c7\u30fc\u30bf\u306e\u5206\u5e03\u3092\u793a\u3059\u91cd\u8981\u306a\u6307\u6a19\u3067\u3059\u3002\u6a19\u6e96\u504f\u5dee\u304c\u4f4e\u3044\u5834\u5408\u3001\u307b\u3068\u3093\u3069\u306e\u5024\u304c\u5e73\u5747\u5024\u306e\u5468\u8fba\u306b\u5bc6\u96c6\u3057\u3066\u3044\u308b\u3053\u3068\u3092\u793a\u3057\u3001\u6a19\u6e96\u504f\u5dee\u304c\u9ad8\u3044\u5834\u5408\u3001\u5024\u304c\u5e83\u304f\u5e83\u304c\u3063\u3066\u3044\u308b\u3053\u3068\u3092\u793a\u3057\u307e\u3059\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code>\u2022 <\/code><code>\u5e73\u5747\u3068\u306e\u95a2\u4fc2\uff1a\u5e73\u5747\u306e\u80cc\u666f\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002\u30af\u30e9\u30b9\u306e\u751f\u5f92\u306e\u5e73\u5747\u8eab\u9577\u3092\u77e5\u308b\u3053\u3068\u306f\u3001\u6a19\u6e96\u504f\u5dee\u3082\u77e5\u3063\u3066\u3044\u308c\u3070\u3088\u308a\u610f\u5473\u3092\u6301\u3061\u307e\u3059\u3002\u6a19\u6e96\u504f\u5dee\u3092\u77e5\u308b\u3053\u3068\u3067\u3001\u307b\u3068\u3093\u3069\u306e\u751f\u5f92\u304c\u5e73\u5747\u8eab\u9577\u306b\u8fd1\u3044\u306e\u304b\u3001\u305d\u308c\u3068\u3082\u975e\u5e38\u306b\u80cc\u306e\u9ad8\u3044\u751f\u5f92\u3068\u975e\u5e38\u306b\u80cc\u306e\u4f4e\u3044\u751f\u5f92\u304c\u591a\u3044\u306e\u304b\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code>\u2022 <\/code><code>\u5206\u6563\u306e\u5e73\u65b9\u6839\uff1a\u6570\u5b66\u7684\u306b\u306f\u3001\u6a19\u6e96\u504f\u5dee\u306f\u5206\u6563\u306e\u5e73\u65b9\u6839\u3068\u3057\u3066\u5b9a\u7fa9\u3055\u308c\u307e\u3059\u3002\u5206\u6563\u306f\u5e73\u5747\u5024\u304b\u3089\u306e\u5dee\u306e\u4e8c\u4e57\u5e73\u5747\u5024\u3092\u6e2c\u308b\u3082\u306e\u3067\u3001\u5e73\u65b9\u6839\u3092\u53d6\u308b\u3053\u3068\u3067\u30c7\u30fc\u30bf\u306e\u5143\u306e\u5358\u4f4d\u306b\u623b\u308a\u307e\u3059\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code><strong>\u8a08\u7b97\uff08\u7c21\u7565\u5316\u3055\u308c\u305f\u624b\u9806\uff09<\/strong><\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code>\u6a19\u6e96\u504f\u5dee\u306e\u8a08\u7b97\u306b\u306f\u3001\u3044\u304f\u3064\u304b\u306e\u624b\u9806\u304c\u3042\u308a\u307e\u3059\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code>1. <\/code><code>\u5e73\u5747\u5024\u3092\u6c42\u3081\u308b\uff1a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u5e73\u5747\u3092\u8a08\u7b97\u3057\u307e\u3059\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code>2. <\/code><code>\u504f\u5dee\u3092\u8a08\u7b97\u3059\u308b\uff1a\u5404\u30c7\u30fc\u30bf\u30dd\u30a4\u30f3\u30c8\u304b\u3089\u5e73\u5747\u5024\u3092\u5f15\u304d\u307e\u3059\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code>3. <\/code><code>\u504f\u5dee\u3092\u4e8c\u4e57\u3059\u308b\uff1a\u624b\u9806<\/code><code>2<\/code><code>\u306e\u7d50\u679c\u3092\u305d\u308c\u305e\u308c\u4e8c\u4e57\u3057\u3066\u3001\u8ca0\u306e\u6570\u3092\u6d88\u53bb\u3057\u307e\u3059\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code>4. <\/code><code>\u5206\u6563\u3092\u6c42\u3081\u308b\uff1a\u3053\u308c\u3089\u306e\u4e8c\u4e57\u504f\u5dee\u306e\u5e73\u5747\u3092\u8a08\u7b97\u3057\u307e\u3059\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code>5. <\/code><code>\u5e73\u65b9\u6839\u3092\u53d6\u308b\uff1a\u5206\u6563\u306e\u5e73\u65b9\u6839\u304c\u6a19\u6e96\u504f\u5dee\u3067\u3059\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code>11<\/code><code>\u5e74\u751f\u3067\u306f\u3001\u751f\u5f92\u306f\u3053\u306e\u8a08\u7b97\u3092\u624b\u4f5c\u696d\u3067\u884c\u3046\u65b9\u6cd5\u3068\u3001\u96fb\u5353\u306b\u7d44\u307f\u8fbc\u307e\u308c\u3066\u3044\u308b\u7d71\u8a08\u95a2\u6570\u3092\u4f7f\u3063\u3066\u52b9\u7387\u7684\u306b\u8a08\u7b97\u3059\u308b\u65b9\u6cd5\u306e\u4e21\u65b9\u3092\u5b66\u3076\u3053\u3068\u304c\u3088\u304f\u3042\u308a\u307e\u3059\u3002<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code><strong>\u8a08\u7b97\u4f8b<\/strong><\/code><code>\uff1a<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code>\u6a19\u6e96\u504f\u5dee\u306f\u3001\u30c7\u30fc\u30bf\u306e\u3070\u3089\u3064\u304d\u3092\u793a\u3059\u6307\u6a19\u3067\u3001<\/code><strong>\u5e73\u5747\u5024\u304b\u3089\u306e\u5404\u30c7\u30fc\u30bf\u306e\u5dee\u3092\u4e8c\u4e57\u3057\u3066\u5408\u8a08\u3057\u3001\u30c7\u30fc\u30bf\u306e\u6570\u3067\u5272\u308a\uff08\u5206\u6563\uff09\u3001\u305d\u306e\u5e73\u65b9\u6839\u3092\u53d6\u308b<\/strong><code>\u3053\u3068\u3067\u8a08\u7b97\u3055\u308c\u307e\u3059\u3002\u30af\u30e9\u30b9\u306e\u8eab\u9577\u3067\u4f8b\u3048\u308b\u306a\u3089\u3001<\/code><strong>\u5e73\u5747\u8eab\u9577\u304b\u3089\u500b\u3005\u306e\u751f\u5f92\u306e\u8eab\u9577\u304c\u3069\u308c\u304f\u3089\u3044\u96e2\u308c\u3066\u3044\u308b\u304b\uff08\u3070\u3089\u3064\u304d\u5177\u5408\uff09<\/strong><code>\u3092\u6570\u5024\u5316\u3059\u308b\u3082\u306e\u3067\u3001\u5206\u6563\u304c\u5927\u304d\u3044\u307b\u3069\u80cc\u304c\u9ad8\u3044\u5b50\u30fb\u4f4e\u3044\u5b50\u304c\u591a\u304f\u3001\u5c0f\u3055\u3044\u307b\u3069\u7686\u304c\u5e73\u5747\u8eab\u9577\u306b\u8fd1\u3044\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u3002&nbsp;<\/code><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u6a19\u6e96\u504f\u5dee\u306e\u8a08\u7b97\u624b\u9806\uff08\u4f8b\uff1aA\u30af\u30e9\u30b9\u3001B\u30af\u30e9\u30b9\uff09<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u3010\u30c7\u30fc\u30bf\u4f8b\u3011<\/strong>\n<ul class=\"wp-block-list\">\n<li><strong>A<\/strong><strong>\u30af\u30e9\u30b9 <\/strong><strong>(<\/strong><strong>\u5e73\u5747<\/strong><strong>170cm):<\/strong>&nbsp;160cm, 170cm, 180cm<\/li>\n\n\n\n<li><strong>B<\/strong><strong>\u30af\u30e9\u30b9 <\/strong><strong>(<\/strong><strong>\u5e73\u5747<\/strong><strong>170cm):<\/strong>&nbsp;165cm, 170cm, 175cm<\/li>\n\n\n\n<li><em>\u6ce8<\/em><em>: <\/em><em>\u3069\u3061\u3089\u3082\u5e73\u5747\u306f<\/em><em>170cm<\/em><em>\u3067\u3059\u304c\u3001\u3070\u3089\u3064\u304d\u304c\u9055\u3044\u307e\u3059\u3002<\/em><\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u5e73\u5747\u304b\u3089\u306e\u5dee\uff08\u504f\u5dee\uff09\u3092\u6c42\u3081\u308b<\/strong>\n<ul class=\"wp-block-list\">\n<li><strong>A<\/strong><strong>\u30af\u30e9\u30b9<\/strong><strong>:<\/strong>&nbsp;(160-170=-10), (170-170=0), (180-170=10)<\/li>\n\n\n\n<li><strong>B<\/strong><strong>\u30af\u30e9\u30b9<\/strong><strong>:<\/strong>&nbsp;(165-170=-5), (170-170=0), (175-170=5)<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u504f\u5dee\u3092\u4e8c\u4e57\u3059\u308b<\/strong><\/li>\n\n\n\n<li><strong>A\u30af\u30e9\u30b9:<\/strong>&nbsp;<math data-latex=\"(-10)^2\"><semantics><mrow><mo form=\"prefix\" stretchy=\"false\">(<\/mo><mo form=\"prefix\" stretchy=\"false\">\u2212<\/mo><mn>10<\/mn><msup><mo form=\"postfix\" stretchy=\"false\">)<\/mo><mn>2<\/mn><\/msup><\/mrow><annotation encoding=\"application\/x-tex\">(-10)^2<\/annotation><\/semantics><\/math>=100, <math data-latex=\"0^2\"><semantics><msup><mn>0<\/mn><mn>2<\/mn><\/msup><annotation encoding=\"application\/x-tex\">0^2<\/annotation><\/semantics><\/math>=0, <math data-latex=\"10^2\"><semantics><msup><mn>10<\/mn><mn>2<\/mn><\/msup><annotation encoding=\"application\/x-tex\">10^2<\/annotation><\/semantics><\/math>=100<\/li>\n\n\n\n<li><strong>B\u30af\u30e9\u30b9:<\/strong>&nbsp;<math data-latex=\"(-5)^2\"><semantics><mrow><mo form=\"prefix\" stretchy=\"false\">(<\/mo><mo form=\"prefix\" stretchy=\"false\">\u2212<\/mo><mn>5<\/mn><msup><mo form=\"postfix\" stretchy=\"false\">)<\/mo><mn>2<\/mn><\/msup><\/mrow><annotation encoding=\"application\/x-tex\">(-5)^2<\/annotation><\/semantics><\/math>=25, <math data-latex=\"0^2\"><semantics><msup><mn>0<\/mn><mn>2<\/mn><\/msup><annotation encoding=\"application\/x-tex\">0^2<\/annotation><\/semantics><\/math>=0, <math data-latex=\"5^2\"><semantics><msup><mn>5<\/mn><mn>2<\/mn><\/msup><annotation encoding=\"application\/x-tex\">5^2<\/annotation><\/semantics><\/math>=25<\/li>\n<\/ol>\n\n\n\n<ol start=\"4\" class=\"wp-block-list\">\n<li><strong>\u4e8c\u4e57\u3057\u305f\u504f\u5dee\u306e\u5408\u8a08\u3092\u6c42\u3081\u3001\u30c7\u30fc\u30bf\u306e\u6570\uff08<\/strong><strong>3<\/strong><strong>\uff09\u3067\u5272\u308b\uff08\u5206\u6563\u3092\u6c42\u3081\u308b\uff09<\/strong>\n<ul class=\"wp-block-list\">\n<li><strong>A<\/strong><strong>\u30af\u30e9\u30b9<\/strong><strong>:<\/strong>&nbsp;(100+0+100) \u00f7 3 = 200 \u00f7 3 = 66.67 (\u5206\u6563)<\/li>\n\n\n\n<li><strong>B<\/strong><strong>\u30af\u30e9\u30b9<\/strong><strong>:<\/strong>&nbsp;(25+0+25) \u00f7 3 = 50 \u00f7 3 = 16.67 (\u5206\u6563)<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u5206\u6563\u306e\u5e73\u65b9\u6839\u3092\u6c42\u3081\u308b\uff08\u6a19\u6e96\u504f\u5dee\uff09<\/strong><\/li>\n\n\n\n<li><strong>A\u30af\u30e9\u30b9:<\/strong> <math data-latex=\"\\sqrt{66.67}\"><semantics><msqrt><mn>66.67<\/mn><\/msqrt><annotation encoding=\"application\/x-tex\">\\sqrt{66.67}<\/annotation><\/semantics><\/math>\u2248&nbsp;<strong>8.16<\/strong>&nbsp;(\u6a19\u6e96\u504f\u5dee)\u3000<\/li>\n\n\n\n<li><strong>B\u30af\u30e9\u30b9:<\/strong>&nbsp; <math data-latex=\"\\sqrt{16.67}\"><semantics><msqrt><mn>16.67<\/mn><\/msqrt><annotation encoding=\"application\/x-tex\">\\sqrt{16.67}<\/annotation><\/semantics><\/math>\u2248&nbsp;<strong>4.08<\/strong>&nbsp;(\u6a19\u6e96\u504f\u5dee)<\/li>\n<\/ol>\n\n\n\n<p class=\"wp-block-paragraph\">\u7d50\u679c\u304b\u3089\u308f\u304b\u308b\u3053\u3068<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>A\u30af\u30e9\u30b9\u306e\u65b9\u304cB\u30af\u30e9\u30b9\u3088\u308a\u3082<strong>\u6a19\u6e96\u504f\u5dee\u304c\u5927\u304d\u3044\uff08\u7d04<\/strong><strong>8.16 vs <\/strong><strong>\u7d04<\/strong><strong>4.08<\/strong><strong>\uff09<\/strong>\u305f\u3081\u3001<strong>\u8eab\u9577\u306e\u3070\u3089\u3064\u304d\u304c\u5927\u304d\u3044<\/strong>\uff08\u80cc\u306e\u9ad8\u3044\u5b50\u30fb\u4f4e\u3044\u5b50\u304c\u591a\u3044\uff09\u3068\u8a00\u3048\u307e\u3059\u3002&nbsp;<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><u>\u6a19\u6e96\u504f\u5dee<\/u>\u3068\u504f\u5dee\u5024<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u6a19\u6e96\u504f\u5dee\u306f\u504f\u5dee\u5024\u8a08\u7b97\u306e\u57fa\u790e\u3067\u3059\u3002\u504f\u5dee\u502460\u306f\u5e73\u5747+\u6a19\u6e96\u504f\u5dee1\u3064\u5206\u3001\u504f\u5dee\u502440\u306f\u5e73\u5747-\u6a19\u6e96\u504f\u5dee1\u3064\u5206\u3068\u3044\u3046\u95a2\u4fc2\u306b\u306a\u308a\u307e\u3059\u3002&nbsp;<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">\u3053\u306e\u3088\u3046\u306b\u3001\u6a19\u6e96\u504f\u5dee\u3092\u4f7f\u3046\u3068\u5e73\u5747\u5024\u3060\u3051\u3067\u306f\u5206\u304b\u3089\u306a\u3044\u3001\u30c7\u30fc\u30bf\u306e\u5e83\u304c\u308a\u5177\u5408\uff08\u6563\u3089\u3070\u308a\u5177\u5408\uff09\u3092\u5177\u4f53\u7684\u306b\u628a\u63e1\u3067\u304d\u308b\u306e\u3067\u3059\u3002&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><code>\u504f\u5dee\u5024\u306e\u8a08\u7b97\u5f0f<\/code><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u504f\u5dee\u5024 <\/strong><strong>= (<\/strong><strong>\u81ea\u5206\u306e\u5f97\u70b9 <\/strong><strong>&#8211; <\/strong><strong>\u5e73\u5747\u70b9<\/strong><strong>) \u00f7 <\/strong><strong>\u6a19\u6e96\u504f\u5dee <\/strong><strong>\u00d7 10 + 50<\/strong>&nbsp;<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">\u8a08\u7b97\u624b\u9806\u3068\u4f8b<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u81ea\u5206\u306e\u5f97\u70b9\u3001\u5e73\u5747\u70b9\u3001\u6a19\u6e96\u504f\u5dee\u3092\u78ba\u8a8d\u3059\u308b<\/strong>\u3002<\/li>\n\n\n\n<li><strong>\u5f97\u70b9\u3068\u5e73\u5747\u70b9\u306e\u5dee\uff08\u504f\u5dee\uff09\u3092\u8a08\u7b97\u3059\u308b<\/strong>\u3002<\/li>\n\n\n\n<li><strong>\u305d\u306e\u5dee\u3092\u6a19\u6e96\u504f\u5dee\u3067\u5272\u308a\u3001\u6a19\u6e96\u5316\u3057\u305f\u5024\uff08\u57fa\u6e96\u5316\u5909\u91cf\uff09\u3092\u6c42\u3081\u308b<\/strong>\uff08\u5e73\u5747\u304b\u3089\u6a19\u6e96\u504f\u5dee\u306e\u4f55\u500d\u96e2\u308c\u3066\u3044\u308b\u304b\uff09\u3002<\/li>\n\n\n\n<li><strong>\u305d\u306e\u5024\u306b<\/strong><strong>10<\/strong><strong>\u3092\u639b\u3051\u3001<\/strong><strong>50<\/strong><strong>\u3092\u8db3\u3059<\/strong>\u3002&nbsp;<\/li>\n<\/ol>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>\u4f8b<\/strong><strong>:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u81ea\u5206\u306e\u5f97\u70b9<\/strong><strong>:<\/strong>&nbsp;80\u70b9<\/li>\n\n\n\n<li><strong>\u5e73\u5747\u70b9<\/strong><strong>:<\/strong>&nbsp;60\u70b9<\/li>\n\n\n\n<li><strong>\u6a19\u6e96\u504f\u5dee<\/strong><strong>:<\/strong>&nbsp;20\u70b9<\/li>\n<\/ul>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>\u504f\u5dee<\/strong><strong>:<\/strong>&nbsp;80 &#8211; 60 = 20\u70b9<\/li>\n\n\n\n<li><strong>\u6a19\u6e96\u5316<\/strong><strong>:<\/strong>&nbsp;20 \u00f7 20 = 1<\/li>\n\n\n\n<li><strong>\u504f\u5dee\u5024<\/strong><strong>:<\/strong>&nbsp;1 \u00d7 10 + 50 = 60&nbsp;<\/li>\n<\/ol>\n\n\n\n<p class=\"wp-block-paragraph\">\u3053\u306e\u4f8b\u3067\u306f\u3001\u504f\u5dee\u5024\u306f<strong>60<\/strong>\u3068\u306a\u308a\u307e\u3059\u3002\u5e73\u5747\u70b9\uff0860\u70b9\uff09\u3088\u308a20\u70b9\u9ad8\u3044\uff08\u6a19\u6e96\u504f\u5dee1\u500b\u5206\u9ad8\u3044\uff09\u305f\u3081\u3001\u504f\u5dee\u5024\u306f50+10=60\u306b\u306a\u308b\u3068\u3044\u3046\u8a08\u7b97\u3067\u3059\u3002&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In Year 11 Mathematics, Univariate Data Analysis involves exploring and describing characteristics of one variable at a time, using tools like frequency tables, histograms, box plots, measures of center (mean, median, mode), and spread (range, interquartile range, standard deviation) to understand its distribution, shape, location, and identify patterns or outliers, forming the foundation before looking [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[],"class_list":["post-1092","post","type-post","status-publish","format-standard","hentry","category-math"],"_links":{"self":[{"href":"https:\/\/archive4ones.com\/2ndstudy\/index.php?rest_route=\/wp\/v2\/posts\/1092","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/archive4ones.com\/2ndstudy\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/archive4ones.com\/2ndstudy\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/archive4ones.com\/2ndstudy\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/archive4ones.com\/2ndstudy\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1092"}],"version-history":[{"count":4,"href":"https:\/\/archive4ones.com\/2ndstudy\/index.php?rest_route=\/wp\/v2\/posts\/1092\/revisions"}],"predecessor-version":[{"id":1097,"href":"https:\/\/archive4ones.com\/2ndstudy\/index.php?rest_route=\/wp\/v2\/posts\/1092\/revisions\/1097"}],"wp:attachment":[{"href":"https:\/\/archive4ones.com\/2ndstudy\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1092"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/archive4ones.com\/2ndstudy\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1092"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/archive4ones.com\/2ndstudy\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1092"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}