In using t as an inferential statistic, we calculate the t score for our sample and then consider where that t score falls in the distribution of t scores for the distribution of sample means when the
A. alternative hypothesis is true
B. null hypothesis is rejected
C. null hypothesis is true
D. alternative is rejected
True or False: The central limit theorem states that the distribution of sample means will approach a normal distribution with a small sample size.
True or False: In hypothesis testing, we look for evidence in our sample data that counters the null hypothesis.
5. In using t as an inferential statistic, we calculate the t score for our sample and then consider where that t score falls in the distribution of t scores for the distribution of sample means when the
A. alternative hypothesis is true B. null hypothesis is rejected C. null hypothesis is true D. alternative is rejected
6. True or False: The central limit theorem states that the
distribution of sample means will approach a normal distribution with a small sample size.
7. True or False: In hypothesis testing, we look for evidence in our sample data that counters the null hypothesis.