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A sample is selected from a population with μ = 50, and a treatment is administered to the sample. If the sample variance is s2 = 121, which set of sample characteristics has the greatest likelihood of rejecting the null hypothesis?

a. M = 49 for a sample size of n = 75
b. M = 49 for a sample size of n = 15
c. M = 45 for a sample size of n = 15
d. M = 45 for a sample size of n = 75

User Keleshia
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1 Answer

3 votes

Answer:

The sample d. M = 45 for a sample size of n = 75 has the greatest likelihood of rejecting the null hypothesis.

Explanation:

Greatest likelihood of rejecting the null hypothesis can be found by calculating the z-cores of the sample means. The sample with the biggest absolute z-score value has grater likelihood of rejecting the null hypothesis.

Z-score of the sample means can be calculated as follows:

z=
(M-mu)/((s)/(√(N) ) ) where

  • M is the sample mean
  • μ=mu is the population mean
  • s is the standard deviation (square root of variance)
  • N is the sample size.

a. M = 49 for a sample size of n = 75

Then z(a)=
(49-50)/((√(121))/(√(75) ) ) ≈ −0.787

b. M = 49 for a sample size of n = 15

z(b)=
(49-50)/((√(121))/(√(15) ) ) ≈ −0.352

c. M = 45 for a sample size of n = 15

z(c)=
(45-50)/((√(121))/(√(15) ) ) ≈ −1.760

d. M = 45 for a sample size of n = 75

z(d)=
(45-50)/((√(121))/(√(75) ) ) ≈ −3,936

Since z(d) is the lowest, it has the biggest absolute z-value. Therefore sample d is more likely to reject the null hypothesis.

User Csenga
by
8.1k points
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