Question

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 ascending order)

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Answer #1

Given Sample Data () : 38.5, 44.5, 32.7, 40.3, 34.8

Sum of all the data values Number of values (x) Sample Mean,x=

38.544.532.7+40.3+34.8 3 1 90.8-38.16

Saliple Mean.x_ 38.160

We compute the following:

x x^2
x= 190.8 (2.2) = 7366.92
38.5 1482.25
44.5 1980.25
32.7 1069.29
40.3 1624.09
34.8 1211.04

\text{Sample Variance}, s^2 = \dfrac{1}{n-1}\Bigl(\sum (x^2) - \dfrac{(\sum x)^2}{n}\Bigr)
5.Ĩ x (7366.92. (190.8)2 x 7366.92 - 21.498 5-1

Sample Variance,21.498

Sample Standard Deviation, s = Vs2= V/21.498 4.636594

Sample Standard Deviation, s - 4.63

Using all of these, we can calculate the z-scores.
Sample Quantiles (or Z-scores) are given by: 38.5 -38.16 4.636594 4.5 -38.16 for x = of 38.5 , z-score is 0.07 x = of 44.5 , z-score is for -of 32.7, z-sc for x -of 40.3 , z-score is for r of 34.8, z-score is 4.636594 32.7-38.16-1.18 4.636594 40.3- 38.16 of 40.3, z-score is,636594 34.8 -38.16 4.6365940.72 Thank youse

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