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: 6, 6, 6, 7, 8, 19, 20, 20, 25. 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:
17,17,26,29,31. 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:
11, 12, 13, 13, 14, 15, 19, 20, 21, 22. 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:
15,17,22,23,25,25,27. 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:
17,18,24,27,29,29. 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:
10, 11, 12, 18, 19, 21, 21, 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:
15, 15, 16, 16, 27, 29, 29, 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: 4,9,11,11,15. 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:
1, 2, 5, 5, 5, 10, 10, 10, 10, 22. 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:
3,3,3,5,7,9,13,17,30. 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: 11,14,16,18,18,24,25. 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, 11, 12, 13, 13, 14, 17, 20, 21, 30, 37. 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:
7, 8, 9, 11, 12, 13, 14, 18, 19, 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:
11, 12, 12, 14, 19, 21, 23, 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:
1,8,8,9,14,29. 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:
14, 16, 17, 20, 21, 26, 27, 27, 46. 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:
17,19,23,23,28. 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:
8,9,9,12,16,17,20,21. 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, 11, 12, 13, 17, 18, 19, 23, 23, 24, 43. 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:
8, 9, 10, 14, 15, 17, 17, 17, 19, 35. 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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