A random sample is selected from a normal population with a mean of μ = 50 and a standard deviation of σ = 12. After a treatment is administered to the individuals in the sample, the sample mean is found to be M = 55.  If the sample consists of n = 16 scores, is the sample mean sufficient to conclude that the treatment has a significant effect? Use a two tailed test with a α = .05.  If the sample consists of n = 36 scores, is the sample mean sufficient to conclude that the treatment has a significant effect? Use a two tailed test with a α = .05.  Comparing your answers for parts a and b, explain how the size of the sample influences the outcome of a hypothesis test.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.5: Comparing Sets Of Data
Problem 13PPS
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A random sample is selected from a normal population with a mean of μ = 50 and a standard deviation of σ = 12. After a treatment is administered to the individuals in the sample, the sample mean is found to be M = 55. 

  1. If the sample consists of n = 16 scores, is the sample mean sufficient to conclude that the treatment has a significant effect? Use a two tailed test with a α = .05. 
  2. If the sample consists of n = 36 scores, is the sample mean sufficient to conclude that the treatment has a significant effect? Use a two tailed test with a α = .05. 
  3. Comparing your answers for parts a and b, explain how the size of the sample influences the outcome of a hypothesis test.



Expert Solution
Step 1

Given information:

Population mean, μ=50

Population standard deviation, σ=12

The sample mean, M = 55

The level of significance, α=0.05

It is required to:

1. determine whether the sample mean is sufficient to conclude that the treatment has a significant effect for a sample of size n = 16 scores.

2. determine whether the sample mean is sufficient to conclude that the treatment has a significant effect for a sample of size n = 36 scores.

3. compare the results of parts 1 and 2 that how the size of the sample is influencing the outcome of a hypothesis test.

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