Sigma Prep · sigmaprep.io/worksheets Name Interquartile Range Date Period Find the interquartile range, or the outliers, of each set. Find the interquartile rangeFind the interquartile range: 4,5,7,8,9,9,10,12. For quartiles, split the data at the median, and leave the median out of both halves when the count is odd.- Find the interquartile range:
10, 11, 13, 13, 19, 20, 21, 22, 24. For quartiles, split the data at the median, and leave the median out of both halves when the count is odd. - Find the interquartile range:
6, 6, 6, 8, 13, 16, 16, 19, 20, 20. For quartiles, split the data at the median, and leave the median out of both halves when the count is odd. - Find the interquartile range: 5,9,9,9,13. For quartiles, split the data at the median, and leave the median out of both halves when the count is odd.
- Find the interquartile range:
6,7,7,11,17,18. For quartiles, split the data at the median, and leave the median out of both halves when the count is odd. - Find the interquartile range:
13,14,19,21,21,22,23. For quartiles, split the data at the median, and leave the median out of both halves when the count is odd. - Find the interquartile range:
7, 7, 7, 9, 14, 15, 15, 20, 23. For quartiles, split the data at the median, and leave the median out of both halves when the count is odd. - Find the interquartile range:
14,18,21,21,22,23,28. For quartiles, split the data at the median, and leave the median out of both halves when the count is odd. - Find the interquartile range:
16, 16, 17, 19, 22, 23, 25, 26, 27, 29. For quartiles, split the data at the median, and leave the median out of both halves when the count is odd. - Find the interquartile range: 9,16,16,17,22. For quartiles, split the data at the median, and leave the median out of both halves when the count is odd.
Find outliers with the 1.5×IQR ruleUse the 1.5×IQR rule to find any outliers: 5, 6, 7, 9, 10, 14, 15, 15, 18, 31. For quartiles, split the data at the median, and leave the median out of both halves when the count is odd.- Use the 1.5×IQR rule to find any outliers:
6,6,9,15,16,19,20,41. For quartiles, split the data at the median, and leave the median out of both halves when the count is odd. - Use the 1.5×IQR rule to find any outliers:
18,20,20,24,25,31. For quartiles, split the data at the median, and leave the median out of both halves when the count is odd. - Use the 1.5×IQR rule to find any outliers:
17,18,21,28,30,30,53. For quartiles, split the data at the median, and leave the median out of both halves when the count is odd. - Use the 1.5×IQR rule to find any outliers:
18, 21, 21, 22, 24, 25, 26, 29, 30. For quartiles, split the data at the median, and leave the median out of both halves when the count is odd. - Use the 1.5×IQR rule to find any outliers: 6,7,12,15,15. For quartiles, split the data at the median, and leave the median out of both halves when the count is odd.
- Use the 1.5×IQR rule to find any outliers:
10, 12, 14, 15, 16, 18, 20, 21, 22, 22, 36. For quartiles, split the data at the median, and leave the median out of both halves when the count is odd. - Use the 1.5×IQR rule to find any outliers:
5, 5, 7, 8, 10, 14, 15, 17, 18. For quartiles, split the data at the median, and leave the median out of both halves when the count is odd. - Use the 1.5×IQR rule to find any outliers:
5, 6, 9, 11, 12, 14, 14, 14, 16, 19. For quartiles, split the data at the median, and leave the median out of both halves when the count is odd. - Use the 1.5×IQR rule to find any outliers:
9, 9, 9, 11, 12, 13, 14, 21, 22, 30, 45. For quartiles, split the data at the median, and leave the median out of both halves when the count is odd.
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