If other factors are held constant, the larger the difference between the two sample means is, the greater the likelihood that the independent-measures t test will find a significant difference. a) True b) False The critical region for a hypothesis test consists of sample outcomes that are very unlikely to occur if the null hypothesis is true. a) True ) b) False If all other factors are held constant, increasing the sample size from n= 25 to n= 100 will increase the power of a statistical test. a) True b) False

College Algebra
1st Edition
ISBN:9781938168383
Author:Jay Abramson
Publisher:Jay Abramson
Chapter9: Sequences, Probability And Counting Theory
Section9.7: Probability
Problem 4SE: What is the difference between events and outcomes? Give an example of both using the sample space...
Question

6

If other factors are held constant, the larger the difference between the two sample
means is, the greater the likelihood that the independent-measures t test will find a
significant difference.
a) True
b) False
The critical region for a hypothesis test consists of sample outcomes that are very
unlikely to occur if the null hypothesis is true.
a) True
b) False
If all other factors are held constant, increasing the sample size from n = 25 to n=
100 will increase the power of a statistical test.
a) True
b) False
Transcribed Image Text:If other factors are held constant, the larger the difference between the two sample means is, the greater the likelihood that the independent-measures t test will find a significant difference. a) True b) False The critical region for a hypothesis test consists of sample outcomes that are very unlikely to occur if the null hypothesis is true. a) True b) False If all other factors are held constant, increasing the sample size from n = 25 to n= 100 will increase the power of a statistical test. a) True b) False
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