Using SPSS

Please compose answers to the assignment in a doc file, along with the sav (data set) and spv (output) files.

1. Enter the data from the following table into SPSS. All fields in the "Variable View" window should be completed for each variable. [ Note : Math test scores can range from 0 to 100.]

   Participant	Sex	Caffeine	Math Test
   1	Male	Caffeine	85
   2	Male	Caffeine	88
   3	Female	Caffeine	89
   4	Female	Caffeine	92
   5	Male	Caffeine	86
   6	Female	Caffeine	94
   7	Male	Caffeine	81
   8	Female	Caffeine	87
   9	Female	Caffeine	96
   10	Female	Placebo	70
   11	Male	Caffeine	79
   12	Female	Placebo	75
   13	Male	Placebo	71
   14	Male	Placebo	75
   15	Male	Placebo	73
   16	Female	Placebo	76
   17	Male	Placebo	80
   18	Female	Placebo	72
   19	Male	Placebo	74
   20	Female	Placebo	81

2. Create frequency tables and obtain the mean, median, mode, standard deviation, and variance for the math test variable.
3. Run a two-way ANOVA, conducting any appropriate post-hoc tests and graphing any interactions.
4. Save the data set as a sav file, and save the output with the tables and data as a spv file. Upload both of these SPSS files with the doc file when submitting the assignment for grading.
5. Answer the following questions in a doc file, based on the results you obtained:

1. List the variables and explain their scale of measurement (nominal, ordinal, interval, or ratio).
2. You are told that this data set represented the following study: "Participants were assigned to either the caffeine condition or placebo condition, where they were either given a pill containing 100mg of caffeine or a sugar pill (the placebo). Equal number of males and females were assigned to each condition. After taking the pill, each participant was given a basic math test (possible scores range from 0 to 100). It was expected that the caffeine group would have higher test scores than those in the placebo group. In addition, females were expected to have higher test scores than the males. Lastly, females who took caffeine were expected to have the highest test scores." What are the independent and dependent variables in this study?
3. What is the mean, median, mode, range, standard deviation, and variance for math test scores?
4. What are the null and alternative hypotheses for the study? Provide the statistical notation and written explanation for each.
5. Complete the following ANOVA table based on the results obtained from SPSS (not all cells require a number):
   Summary of two-way ANOVA of math test scores:

   Source	SS	df	MS	F	p

6. Why did we run a two-way ANOVA on this data set?
7. What are the main effects and are they statistically significant? How do you know?
8. What is the interaction and is it statistically significant? Describe the graph of the interaction.
9. Should you conduct a Tukey’s HSD test on the means for either main effect or the interaction? Why or why not? If so, after conducting the test, which means are significantly different from each other for the tested main effect(s) and/or interaction? How do you know?
10. What conclusion might you draw from all of these results? Do we retain or reject our null hypotheses? Explain. (Please see George and Mallery (2009), bottom of page 159, for examples of how to present results for ANOVA tests in sentence format, including the necessary statistics.)

1. List the variables and explain their scale of measurement (nominal, ordinal, interval, or ratio).
2. You are told that this data set represented the following study: "Participants were assigned to either the caffeine condition or placebo condition, where they were either given a pill containing 100mg of caffeine or a sugar pill (the placebo). Equal number of males and females were assigned to each condition. After taking the pill, each participant was given a basic math test (possible scores range from 0 to 100). It was expected that the caffeine group would have higher test scores than those in the placebo group. In addition, females were expected to have higher test scores than the males. Lastly, females who took caffeine were expected to have the highest test scores." What are the independent and dependent variables in this study?
3. What is the mean, median, mode, range, standard deviation, and variance for math test scores?
4. What are the null and alternative hypotheses for the study? Provide the statistical notation and written explanation for each.
5. Complete the following ANOVA table based on the results obtained from SPSS (not all cells require a number):
   Summary of two-way ANOVA of math test scores:

   Source	SS	df	MS	F	p

6. Why did we run a two-way ANOVA on this data set?
7. What are the main effects and are they statistically significant? How do you know?
8. What is the interaction and is it statistically significant? Describe the graph of the interaction.
9. Should you conduct a Tukey’s HSD test on the means for either main effect or the interaction? Why or why not? If so, after conducting the test, which means are significantly different from each other for the tested main effect(s) and/or interaction? How do you know?
10. What conclusion might you draw from all of these results? Do we retain or reject our null hypotheses? Explain. (Please see George and Mallery (2009), bottom of page 159, for examples of how to present results for ANOVA tests in sentence format, including the necessary statistics.)

Price: $20.62

Solution: The downloadable solution consists of 10 pages, 1062 words and 1 charts.
Deliverable: Word Document