Do one of the following, as appropriate. (a) Find the critical valuezα/2,(b) find the critical valuetα/2,(c) state that neither the normal nor the t distribution applies.Confidence level98%;n=16;σ is unknown;population appears to be normally distributed. Do one of the following, as appropriate. (a) Find the critical value z,/2, (b) find the critical value t/2, (c) state that neither the normal nor the t distribution applies.Confidence level 98%; n = 16; o is unknown; population appears to be normally distributed.Click here to view a table of critical t-values.Click here to view page 1 of the standard normal table,Click here to view page 2 of the standard normal table.Find the critical value.O A. Z/2 = 2.055O B. tu/2 = 2.602Oc. tu/2 = 2.249O D. Za/2 = 2.33O E. Neither normal nor t distribution applies.

Since population standard deviation is unknown, Use t-distribution to find t-critical value. Using…

Answered: Do one of the following, as…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Do one of the following, as appropriate. (a) Find the critical value

zα/2,

(b) find the critical value

tα/2,

Confidence level

98%;

n=16;

σ is unknown;

population appears to be normally distributed.

Do one of the following, as appropriate. (a) Find the critical value z,/2, (b) find the critical value t/2, (c) state that neither the normal nor the t distribution applies.
Confidence level 98%; n = 16; o is unknown; population appears to be normally distributed.
Click here to view a table of critical t-values.
Click here to view page 1 of the standard normal table,
Click here to view page 2 of the standard normal table.
Find the critical value.
O A. Z/2 = 2.055
O B. tu/2 = 2.602
Oc. tu/2 = 2.249
O D. Za/2 = 2.33
O E. Neither normal nor t distribution applies.

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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