16. When n is small (less than 30), how does the shape of the t distribution compare to the normal distribution? a. It is almost perfectly normal. It is flatter and more spread out than the normal b....


16. When n is small (less than 30), how does the<br>shape of the t distribution compare to the normal<br>distribution?<br>a. It is almost perfectly normal.<br>It is flatter and more spread out than the normal<br>b.<br>distribution.<br>It is taller and narrower than the normal<br>C.<br>distribution.<br>There is no consistent relationship between the t<br>d.<br>distribution and the normal distribution.<br>

Extracted text: 16. When n is small (less than 30), how does the shape of the t distribution compare to the normal distribution? a. It is almost perfectly normal. It is flatter and more spread out than the normal b. distribution. It is taller and narrower than the normal C. distribution. There is no consistent relationship between the t d. distribution and the normal distribution.
15. A researcher conducts a hypothesis test using a<br>sample of n = 20 from an unknown population. What<br>is the df value for the t statistic?<br>а. 19<br>b. 20<br>С. 21<br>Cannot be determined from the information<br>d.<br>given<br>

Extracted text: 15. A researcher conducts a hypothesis test using a sample of n = 20 from an unknown population. What is the df value for the t statistic? а. 19 b. 20 С. 21 Cannot be determined from the information d. given

Jun 11, 2022
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