OVERVIEW Part I contains general concepts from this module's Learn section. Part II requires use of SPSS. You will have to take screen shots and/or copy and paste from your SPSS to place answers within this file. Make sure you only insert relevant and legible images. Part III is the cumulative section. These may include short answer and/or use of SPSS but will review material from previous module(s). Directions for each subsection are provided in the top of each table (in the blue shaded

1. What is the critical value for a one-tailed z test? For a two-tailed z test? Which is more likely to result in a rejection of the null hypothesis? Why? ANSWER

2. Why does tcv. Change when the sample size changes? What must be computed to determine tcv.? ANSWER

3. Henry performed a two-tailed test for an experiment in which N = 24. He could not find his table of t critical values, but he remembered the tcv at df = 13. He decided to compare his tobt with this tcv. Is he more likely to make a Type I or a type II error in this situation? Briefly discuss why. ANSWER

Given a population standard deviation of 12, answer the following two questions. 4) Calculate the standard error of the mean () given the following two sample sizes (show all your work and round to two decimal places): N1 = 20 N2 = 70 WORK: N1 = N2 = ANSWER

N1 = N2 = 5) How does the sample size change the standard error of the mean? What does this mean for statistical power? ANSWER

Calculate the critical degrees of freedom and identify the critical values for the following tests, using p = .05 and the tables in your e-book for all scenarios (do NOT round). Then, state whether the null hypothesis would be rejected or failed to be rejected.

6) Single sample t-test: two-tailed, N = 20, t = 2.05 df= ANSWER

critical t = ANSWER Reject or Fail to Reject Ho: ANSWER

7) Single sample t-test: one-tailed, N = 20, t = 2.05 df= ANSWER

critical t = ANSWER

Reject or Fail to Reject Ho:

ANSWER

8) Pearson's r correlation: two-tailed, N = 15, r = 0.47 df= ANSWER

critical t = ANSWER

Reject or Fail to Reject Ho: ANSWER

9) Pearson's r correlation: one-tailed, N = 15, r = 0.47 df= ANSWER

critical t = ANSWER

Reject or Fail to Reject Ho: ANSWER

A company decides to offer a monetary incentive for employees who log a specified number of hours spent exercising in an attempt to improve employee health. The average health score (higher = better) of the 75 employees who logged enough hours was 87. The mean health score for all employees (population) was 85, with a population standard deviation of 6.5.

10) Calculate the standard error of the mean. ANSWER

11) Conduct the z-test. (use at least two decimal places throughout). What is the zobt score? ANSWER

12) Don't forget to include the statistical statement and whether you reject or fail to reject the null hypothesis. ANSWER

Part II: SPSS Application These questions require the use of SPSS. Remember to report the exact p value provided by SPSS output - simply reporting p<.05 or p>.05 is not acceptable (unless SPSS output states p=.000 - in that case you can report p<.001). Exercise 1 Spatial ability was quantified using a sample of the general population (N=15). Their scores are shown below, where higher scores represent better spatial ability. Enter this data into SPSS to answer the following questions. 52 59 63 65 58 55 62 63 53 59 57 61 60 59 57

13) Run descriptive statistics for general population data provided above (make sure to include the mean and confidence interval by using the "Explore" option as shown in this module's presentation).

ANSWER SPSS output of descriptive statistics

14) You want to compare your sample of the general population to individuals who listen to classical music, but you only know their mean ( = 60). Run a single sample t test. Paste the output below. ANSWER: SPSS output of the t-Test

15) ANSWER

Part III: Cumulative These questions can be related to anything covered thus far in the course. A recruiter wants to know if college GPA is truly predictive of one's grit. He examined this by having 14 job applicants complete a grit inventory using a Likert scale (range 1 -7) where higher numbers indicate more "grit". GPA was confirmed using college transcripts (scale 0 - 4.0). Enter the data shown below into SPSS to assess whether GPA can predict one's grit. Remember - prediction requires a different analysis than mere relationships. Choose the correct test to analyze this question, set up the SPSS file, and run the analysis. Grit GPA 6.5 4.0 4.0 3.1 3.7 2.7 5.8 3.5 4.7 3.1 5.5 3.3 3.9 2.7 1.1 2.8 3.5 3.1

2.7 2.6 5.1 3.8 3.2 2.2 5.6 2.8 6.1 2.5

16) Paste appropriate SPSS output. ANSWER

17) Paste appropriate SPSS graph. ANSWER

ANSWER