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Description: Listed below are the numbers of years that archbishops and monarchs in a certain country lived after their election or coronation. Assume that the two samples are independent simple random samples selected from normally distributed populations. Do no

MATLAB: An Introduction with Applications

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ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

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Listed below are the numbers of years that archbishops and monarchs in a certain country lived after their election or coronation. Assume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal. Use a

0.01

significance level to test the claim that the mean longevity for archbishops is less than the mean for monarchs after coronation. All measurements are in years.

test statistic?

P-value?

state the conclusion for the test?

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Listed below are the numberss of years that archbishops and monarchs in a certain country lived after their election or coronation. Assume that the two samples
are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal. Use a
0.01 significance level to test the claim that the mean longevity for archbishops is less than the mean for monarchs after coronation. All measurements are in
years
مطمعصصممصممصمطمنط طمعممم صنشمعصملعمملطمعطفعشمفص صمنمطفعلصنلم
i Longevities of Archbishops and Monarchs
OA.
O c.
16
Archbishops
13
18
13
14
1
15
17
9
15
10
13
14
14
14
14
16
17
6
17
12
4
15
15
Monarchs
14
16
Click t
20
13
16
19
15
15
15
16
16
16
?
З ра
ren
Check Answer
Print
Done

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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