Question

In: Math

Consider a sample with data values of 26, 25, 20, 15, 31, 33, 29, and 25....

Consider a sample with data values of 26, 25, 20, 15, 31, 33, 29, and 25. Compute the 20th, 25th, 65th, and 75th percentiles.

20th percentile

25th percentile

65th percentile

75th percentile

Solutions

Expert Solution

Ans:

Sorted data:

15,20,25,25,26,29,31,33

20th percentile=20

25th percentile=22.5

65th percentile=29

75th percentile=30

Explanation:

1)

i = (p / 100) * n), where p = 20 and n = 8

i = (20 / 100) * 8 = 1.6

The index i is not an integer, round up. (i = 2) ⇒ the 20th percentile is the value in 2th position, or 20

The 20th percentile is 20

2)

i = (p / 100) * n), where p = 25 and n = 8

i = (25 / 100) * 8 = 2

The index i is an integer ⇒ the 25th percentile is the average of the values in the 1th and 2th positions (20 and 25 respectively)

The 25th percentile is (20 + 25) / 2 = 22.5

3)

i = (p / 100) * n), where p = 65 and n = 8

i = (65 / 100) * 8 = 5.2

The index i is not an integer, round up. (i = 6) ⇒ the 65th percentile is the value in 6th position, or 29

The 65th percentile is 29

4)

i = (p / 100) * n), where p = 75 and n = 8

i = (75 / 100) * 8 = 6

The index i is an integer ⇒ the 75th percentile is the average of the values in the 5th and 6th positions (29 and 31 respectively)

The 75th percentile is (29 + 31) / 2 = 30


Related Solutions

Consider a sample with data values of 26, 25, 22, 17, 32, 33, 29, and 25....
Consider a sample with data values of 26, 25, 22, 17, 32, 33, 29, and 25. Compute the range, interquartile range, variance, and standard deviation (Round to 2 decimals, if necessary). Range Interquartile range Variance Standard deviation
Consider a sample with data values of 26, 25, 22, 16, 32, 33, 29, and 25....
Consider a sample with data values of 26, 25, 22, 16, 32, 33, 29, and 25. Compute the 20th, 25th, 65th, and 75th percentiles (to 1 decimal, if decimals are necessary).
Consider a sample with data values of 26, 24, 23, 18, 31, 35, 29, and 24....
Consider a sample with data values of 26, 24, 23, 18, 31, 35, 29, and 24. Compute the range, interquartile range, variance, and standard deviation
Consider a sample with data values of 27, 24, 22, 15, 31, 33, 28, and 24....
Consider a sample with data values of 27, 24, 22, 15, 31, 33, 28, and 24. Compute the range, interquartile range, variance, and standard deviation (Round to 2 decimals, if necessary).
Consider a sample with data values of 27, 25, 20, 15, 30, 34, 28, and 25....
Consider a sample with data values of 27, 25, 20, 15, 30, 34, 28, and 25. Compute the 19th, 24th, 60th, and 70th percentiles. If needed, round your answers to two decimal digits. Percentile 19% 24% 60% 70% Value for percentile?
Consider a sample with data values of 27, 25, 20, 15, 30, 34, 28, and 25....
Consider a sample with data values of 27, 25, 20, 15, 30, 34, 28, and 25. Compute the 21st, 26th, 60th, and 70th percentiles. If needed, round your answers to two decimal digits.
Consider a sample with data values of 27, 25, 20, 15, 30, 34, 28, and 25....
Consider a sample with data values of 27, 25, 20, 15, 30, 34, 28, and 25. Compute the 20th, 25th, 58th, and 68th percentiles. If needed, round your answers to two decimal digits. Percentile   Value 20%   * 25%   * 58%   * 68% *
Consider a sample with data values of 27, 25, 20, 15, 30, 34, 28, and 25....
Consider a sample with data values of 27, 25, 20, 15, 30, 34, 28, and 25. Compute the 18th, 23rd, 59th, and 69th percentiles. If needed, round your answers to two decimal digits. Percentile Value 18% 23% 59% 69%
Consider a sample with data values of 27, 25, 20, 15, 30, 34, 28, and 25....
Consider a sample with data values of 27, 25, 20, 15, 30, 34, 28, and 25. Compute the 22nd, 27th, 59th, and 69th percentiles. If needed, round your answers to two decimal digits. Percentile Value 22% 27% 59% 69%
Consider a sample with data values of 27, 25, 20, 15, 30, 34, 28, and 25....
Consider a sample with data values of 27, 25, 20, 15, 30, 34, 28, and 25. compute the rangw, interquartile range, variance, and standard deviation.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT