# Read the following, then complete the Questions starting on page 2.

INSTRUCTIONS

Independent t-Test

Example of how to write a sentence if there is a no significant difference between the groups when using an Independent t-Test:

There was no difference in coping between younger and older women with heart disease (t=    , p=   ).

Example of sentence to describe the findings if there is a significant difference between the groups when using an Independent t-Test. Look at the mean scores to determine if they increased or decreased:

Disabled women were found to have significantly higher (lower) level of self-esteem when compared to disabled men (t=   , p=   ).

Paired t-Test

Example of how to write a sentence if there is a no significant difference between time 1 and time 2 when using a Paired t-Test:

There was no change in level of self-efficacy from baseline to the six month follow up

(t=   , p=   ).

Example of sentence to describe the findings if there is a significant difference between the groups when using an Independent t-Test. Look at the mean scores to determine if they increased or decreased:

There was a significant increase (or decrease) in level of self-efficacy from baseline to

the six month follow up (t=   , p=   ).

Note: Insert the appropriate t and p values.  A p-value equal to .05 or less is significant.

Name:

Write a sentence for each of the findings listed on the table in Question 1.

1.

2.

Which variable does not have a significant p-value? State the t-test value and p-value. Also state the mean scores for the boys and girls.

In the table above look at the mean scores for boys and girls for each variable. Calculate the difference in mean score for each variable using simple subtraction to answer question a) below.

1. Which variable (excluding the total AHP score) showed the greatest difference in mean score between the girls and boys?
• Which group scored significantly higher?
• Write a sentence to report the findings using the examples on page 1. Report the t-test value and p-value.

3. What is the level of measurement (level of data) needed to use an Independent t-Test?

4. How many groups of participants are appropriate when using an Independent t-test?

5. What is the level of measurement (level of data) needed to use a Paired t-Test?

6. How many groups of participants are appropriate when using a Paired t-test?

7. How many groups of participants are appropriate when using ANOVA?

8. What is purpose of an ANOVA?

9. What is the purpose of the post-hoc test used with an ANOVA? Name of the test.

10. Provide a comprehensive description of what you have learned about the independent t-Test, paired t-test and ANOVA.

11. Describe a study in detail that you could conduct using an Independent t-Test or Paired t- Test?

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