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
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
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...
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