IQ test creators would like to know if scores between two tests are significantly different. To explore, a simple random sample of test-takers is given Test A and then Test B. A summary of the data obtained from the study is given below. Assume the standard deviation for the two groups is the same. Mean Observations Pearson Correlation Hypothesized Mean Difference df t Stat P(T<=t) one-tail t Critical one-tail Test A 100.04 50 -0.056 0 49 2.301 0.013 1.677 0.026 2.010 95% Test B 103.08 50 What are the population parameters? Pick Is the two-sample hypothesis test a paired t-test or an unpaired t-test? Pick P(T<=t) two-tail t Critical two-tail Confidence Level What is the null hypothesis? Ho: MA Pick What is the level of significance? Ex: 0.12 B What is the alternative hypothesis? Ha: MA Pick B Should Ho be rejected or does Ho fail to be rejected? Pick What conclusion can be drawn from the data? Pick evidence exists to support the claim that the mean scores from the two tests are different.

MATLAB: An Introduction with Applications
6th Edition
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Author:Amos Gilat
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IQ test creators would like to know if scores between two tests are significantly different. To explore, a simple
random sample of test-takers is given Test A and then Test B. A summary of the data obtained from the study is
given below. Assume the standard deviation for the two groups is the same.
Mean
Observations
Pearson Correlation
Hypothesized Mean Difference
df
t Stat
P(T<=t) one-tail
t Critical one-tail
P(T<=t) two-tail
t Critical two-tail
Confidence Level
Test A
100.04
50
-0.056
0
49
2.301
0.013
1.677
0.026
2.010
95%
Test B What are the population parameters?
103.08
50
Pick
Is the two-sample hypothesis test a paired t-test or an unpaired t-test?
Pick
What is the level of significance? Ex: 0.12
What is the null hypothesis? Ho: μA Pick ✓ B
Pick
What is the alternative hypothesis? Ha
: μα
Should Ho be rejected or does Ho fail to be rejected? Pick
What conclusion can be drawn from the data?
Pick
B
evidence exists to support the claim that the mean scores from the two tests are different.
Transcribed Image Text:IQ test creators would like to know if scores between two tests are significantly different. To explore, a simple random sample of test-takers is given Test A and then Test B. A summary of the data obtained from the study is given below. Assume the standard deviation for the two groups is the same. Mean Observations Pearson Correlation Hypothesized Mean Difference df t Stat P(T<=t) one-tail t Critical one-tail P(T<=t) two-tail t Critical two-tail Confidence Level Test A 100.04 50 -0.056 0 49 2.301 0.013 1.677 0.026 2.010 95% Test B What are the population parameters? 103.08 50 Pick Is the two-sample hypothesis test a paired t-test or an unpaired t-test? Pick What is the level of significance? Ex: 0.12 What is the null hypothesis? Ho: μA Pick ✓ B Pick What is the alternative hypothesis? Ha : μα Should Ho be rejected or does Ho fail to be rejected? Pick What conclusion can be drawn from the data? Pick B evidence exists to support the claim that the mean scores from the two tests are different.
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