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1. www.scribbr.com › statistics › interquartile-rangeHow to Find Interquartile Range (IQR) | Calculator & Examples -...

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   25 wrz 2020 · The interquartile range (IQR) contains the second and third quartiles, or the middle half of your data set. Whereas the range gives you the spread of the whole data set, the interquartile range gives you the range of the middle half of a data set.

2. statisticsbyjim.com › basics › interquartile-rangeInterquartile Range (IQR): How to Find and Use It

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   29 sie 2021 · I’ll show you how to find the interquartile range, use it to measure variability, graph it in boxplots to assess distribution properties, use it to identify outliers, and test whether your data are normally distributed.

3. www.w3schools.com › statistics › statistics_interquartile_rangeStatistics - Interquartile Range - W3Schools

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   With Python use the SciPy library iqr() method to find the interquartile range of the values 13, 21, 21, 40, 42, 48, 55, 72: from scipy import stats. values = [13,21,21,40,42,48,55,72] x = stats.iqr (values) print(x) Try it Yourself » Example. Use the R IQR() function to find the interquartile range of the values 13, 21, 21, 40, 42, 48, 55, 72:

4. www.statisticshowto.com › probability-and-statistics › interquartile-rangeInterquartile Range (IQR): What it is and How to Find it

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   Find the IQR: Q 3 – Q 1 = 31 – 10 = 21. This means that the number of power plants in the middle 50% of data varies by at most, 21. IQR as a test for a normal distribution

5. goodcalculators.com › interquartile-range-calculatorInterquartile Range (IQR) Calculator | Good Calculators

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   How to use the Interquartile Range Calculator: 1) Enter each of the numbers in your set separated by a comma (e.g., 1,9,11,59,77), space (e.g., 1 9 11 59 77) or line break. 2) Click on the "Calculate" button to calculate the interquartile range.

6. science.howstuffworks.com › math-concepts › interquartile-rangeInterquartile Range: How to Calculate and Visualize IQR

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   5 cze 2024 · To find interquartile range (IQR) within a data set, begin by ordering your values from least to greatest. The first quartile (Q1), or lower quartile, should contain statistics with the smallest values. This range is followed by the second, third and fourth quartiles that grow incrementally larger. Step 2: Find the Median.

7. www.statology.org › how-to-interpret-interquartile-rangeHow to Interpret Interquartile Range (With Examples) - Statology

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   11 maj 2021 · The interquartile range of a dataset, often abbreviated IQR, is the difference between the first quartile (the 25th percentile) and the third quartile (the 75th percentile) of the dataset. In simple terms, it measures the spread of the middle 50% of values. IQR = Q3 – Q1.