The difference between a t test for a single sample and a Z test ...

[809779]

The difference between a t test for a single sample and a Z test for a single sample is the way
 
  A) the problem is restated as a research hypothesis and a null hypothesis about the populations.
  B) the mean of the known population is determined.
  C) the variance of the known population is determined.
  D) the decision about whether to reject the null hypothesis is made.

Question 2

Which of the following statements is true based on the information presented in Scenario C?
 
  A) On the average, religion is more important to rich people than to poor people.
  B) The column means show that religion is more important to poor people.
  C) The row means show that there is no difference between rich and poor in their average interest in religion.
  D) There is a clear interaction effect in which poor people value religion more in urban areas, while rich people value it more in rural areas.

[janeli1]

Answer to Question 1

C

Answer to Question 2

A

[809779]

Wow, this really help

[Dinolord]

Thanks for the timely response, appreciate it