Question 4 (1 point)                

We want to determine if a difference between groups exists between 3 groups. If we use a t test and an alpha of 0.05, what is the chance that one of the t tests is wrong?

  Question 4 options:

45%

No chance

15%

5% (alpha = 0.05)

 

Question 5 (1 point)                

Continuing from question 4, using a t test for more than two groups would increase __________ error.

  Question 5 options:

Type I

Type II

 

 

Question 6 (4 points)                

Match the following:

  Question 6 options: 1 2

ANOVA

1 2

t-test

  1. Use when testing the difference between two groups

2. Use when testing the difference between more than two groups

Which of the following data types can be used with t-tests?

Interval

Ordinal

Nominal

Match the following tests with their description

Z Test

Paired t-test

F Test

Student's t-test

Test to see if the variances of two samples are not statistically significantly different

Test to see if the difference between two sample means is greater than the standard error of the difference

Test to see if there is a difference between two independent groups

Test to see if there is a difference in the same sample, with the two groups being before and after an intervention

1. Two variables in a study are said to be confounded if 

2. In an experiment, an observed difference between groups that is to large to be due to chance alone is called 

3. The essential difference between an experiment and an observational study is that.

Which of the following t-test confidence intervals indicate that there is a statistically significant difference between groups?

-15.23 to 23.12

-2.57 to -1.58

-0.05 to 5.47

-12.87 to 0.03

Which of the following confidence intervals would be associated with a p-value of 0.34, assuming an alpha of 0.05?

-2.54 to 1.38

-35.23 to -23.72

0.19 to 0.89

-15.05 to -5.47