Use the given data values (a sample of female arm circumferences in centimeters) to identify the corresponding z scores that are used for a normal quantile plot, then identify the coordinates of each point in the normal quantile plot. Construct the normal quantile plot, then determine whether the data appear to be from a population with a normal distribution.
32.4,
38.0,
40.3,
34.5,
43.9
A) List the Z scores for the normal Quantile plot. (theres 5)
B) Identify the coordinates of each point in the normal quantile lot. Use ordered pairs for the form (x,y) Where X is the sorted arm circumfrances in ascending order, and y is the corresponding z score.
a)
rank,i | (i-0.5)/n | data | z score |
1 | 0.1 | 32.4 | -1.28 |
2 | 0.3 | 34.5 | -0.52 |
3 | 0.5 | 38 | 0.00 |
4 | 0.7 | 40.3 | 0.52 |
5 | 0.9 | 43.9 | 1.28 |
B)
(32.4,-1.28) (34.5,-0.52) (38,0.00) (40.3,0.52)
(43.9,1.28)
please revert for doubts and
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Use the given data values (a sample of female arm circumferences in centimeters) to identify the...
Use the given data values (a sample of female arm circumferences in centimeters) to identify the corresponding z scores that are used for a normal quantile plot, then identify the coordinates of each point in the normal quantile plot. Construct the normal quantile plot, then determine whether the data appear to be from a population with a normal distribution. 38.5, 44.5, 32.7, 40.3, 34.8 List the z scores for the normal quantile plot. Round to two decimal places as needed....
Use the given data values (a sample of female arm circumferences in centimeters) to identify the corresponding z scores that are used for a normal quantile plot, then identify the coordinates of each point in the normal quantile plot. Construct the normal quantile plot, then determine whether the data appear to be from a population with a normal distribution. Use the given data vakues (a sample of female arm circunferences in centimeters) to identity the corresponding z scores that are...
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Use the given data values (a sample of female arm circumferences in centimeters) to identify the corresponding z scores that are used for a normal quantile plot, then identify the coordinates of each point in the normal quantile plot. Construct the normal quantile plot, then determine whether the data appear to be from a population with a normal distribution. 38.8, 32.2, 34.1, 40.1, 45.0
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