7.2Assume that we want to construct a confidence interval. Do one of the following, as appropriate: (a) find the critical valuetα/2,(b) find the critical valuezα/2,or (c) state that neither the normal distribution nor the t distribution applies. The confidence level is95%,σis not known, and the normal quantile plot of the17salaries (in thousands of dollars) of basketball players on a team is as shown.Select the correct choice below and, if necessary, fill in the answer box to complete your choice. A. ta/2 = ?B. Za/2 = ?C.Neither the normal distribution nor the t distribution applies. 2-1.6-1.2-0.8-0.4-0-N -0.4--0.8--1.2--1.6-420084001260016$0021000-2-X Values

If population standard deviation is known then we z- critical irrespective of the shape of the…

Answered: 7.2 Assume that we want to construct a…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

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Question

7.2

Assume that we want to construct a confidence interval. Do one of the following, as appropriate: (a) find the critical value

tα/2,

(b) find the critical value

zα/2,

or (c) state that neither the normal distribution nor the t distribution applies.

The confidence level is

95%,

is not known, and the normal quantile plot of the

salaries (in thousands of dollars) of basketball players on a team is as shown.

Select the correct choice below and, if necessary, fill in the answer box to complete your choice.

A. t_{a/2 = ?}

B. Z_{a/2 = ?}

C.Neither the normal distribution nor the t distribution applies.

2-
1.6-
1.2-
0.8-
0.4-
0-
N -0.4-
-0.8-
-1.2-
-1.6-
4200
8400
12600
16$00
21000
-2-
X Values

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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