Interquartile range q1 q2 q3
[DOC File]Percentiles & Quartiles:
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IQR = Q3 – Q1. This range tells us the spread of the middle half of the data. Examples: For each of the following data sets, calculate the median rank, median, 1st quartile, 3rd quartile, and interquartile range: 1) 100 97 106 87 94 102 101 99 86 78 96 56 80 106 111 87 88 80 96 98 96 91
[DOC File]1 .edu
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A central box spans the quartiles Q1 and Q3. A line in the box marks the median M. Lines extend from the box out to the smallest and largest observations. A measure of spread based on these quartiles is the . Interquartile range. IQR =Q3 - Q1, the distance between the quartiles.
[DOC File]Mrs. Enns' Math Website - Home
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When there are an even number of data points, you take the midpoint between the two middle values as the median (Q2) If the number of data below the median is even, Q1 is the midpoint between the two middle values in this half, similarly, Q3 would be the midpoint in the upper half. Interquartile Range: Q3 – Q1, the range of the middle half of the data
[DOCX File]Winston-Salem/Forsyth County Schools / Front Page
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Math 112.4 Box-and-Whisker PlotsUnit 4. Quartiles: Q1, Q2 (aka – median), and Q3. Interquartile. Range: Box-and-Whisker Plot: Box-and-Whisker Plot. The left …
[DOC File]3 - Faculty Websites
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Interquartile Range. The interquartile range measures the spread of the middle 50% of the data. You first find the median (represented by Q2—the value that divides the data into two halves), and then find the median for each half.The three values that divide the data into four parts are called the quartiles, represented by Q1, Q2, and Q3.
[DOC File]Chapter 1
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range – highest – lowest = range: R = H – L . lower quartile – 1st quartile – Q1: The median value of the values below Q2 . upper quartile – 3rd quartile – Q3: The median value of the values above Q2 . interquartile range (IQR) – Q3 – Q1 = IQR. box-and-whisker-plot – based on range …
[DOC File]Chapter 3:
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Interquartile range: Semi-interquartile range: Midquartile: 10-90 Percentile Range: To Determine if a Data Value is an Outlier: Find Q1 and Q3. Find the interquartile range (IQR): Q3 – Q1. Multiply the IQR by 1.5. The data value is an outlier if it is above Q3 by an amount greater than 1.5 x IQR
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