Please use the following data set: Ch 04 – Exercise 05.sav [Note to writer: File Attached] to attempt Exercise 4.5 on pp. 91-92 in the Knapp textbook. Please post the output that you are initially able to report in APA format and discuss what the results mean to you by Thursday. The following link provides the correct output: Solutions Ch 4 – Descriptive Statistics [Note to writer: File Attached]
SOLUTIONS – SPSS Practice Forum: Descriptive Statistics
[Note to writer: I have answered A and B for your convenience, but C, D, and E need to be done in the same fashion. I simply worked in the SPSS and copied the image to the corresponding Question. You can see the solutions to double check in the Solutions File. This is how it needs to be done.]
A.
| Statistics | ||
| units | ||
| N | Valid | 40 |
| Missing | 0 | |
| Mean | 11.85 | |
| Median | 12.00 | |
| Mode | 12 | |
| Std. Deviation | 2.348 | |
| Variance | 5.515 | |
| Range | 9 | |
| Minimum | 6 | |
| Maximum | 15 |
B.
| degree | |||||
| Frequency | Percent | Valid Percent | Cumulative Percent | ||
| Valid | Bachelors | 31 | 77.5 | 77.5 | 77.5 |
| Masters | 7 | 17.5 | 17.5 | 95.0 | |
| Doctorate | 2 | 5.0 | 5.0 | 100.0 | |
| Total | 40 | 100.0 | 100.0 |
C.
D.
E.
Assignment 1: SPSS Descriptive Statistics
Please use the following dataset, FoodSales.sav [Note to writer: File Attached] to complete the following questions. Please present your assignment as a Word document. Adhere to proper APA format that includes overall document presentation and appropriate reporting of relevant statistics, tables and figures.
- Run descriptive statistics and a histogram with a normal curve for Quantity for the entire data set. Document and explain your results.
- Run descriptive statistics and a histogram with a normal curve for Quantity for only the East region. Document and explain your results.
- Run descriptive statistics and a histogram with a normal curve for Quantity for only the West region. Document and explain your results.
- Run descriptive statistics and a bar chart for City for the entire data set. Document and explain your results.
Discussion Post 2: SPSS Practice Forum: Independent Samples t-Test
[Note to writer: This is a similar to the first Discussion]
Please use the following data set: Ch 05 – Exercise 05B.sav [Note to writer: File Attached] to attempt Exercise 5.5 on p. 118 in the Knapp textbook. Please post your response and output in APA format. The following link provides the correct output: Solutions Ch 5 – t Test [Note to writer: File Attached]. Note: Please paraphrase 5.5d in your own words and be aware of school’s plagiarism policy.
Assignment 2: SPSS Independent Samples t-Test
[Note to writer: This is assignment needs answers in figures, and documenting and explaining the results in writing. Please follow the instruction and look at the rubric.]
Please use the following dataset, Hockey.sav [Note to writer: File Attached] to complete the following questions. A hockey coach, Kate Skate, wants to use data to help her understand more about her co-ed team so that she can make the best coaching decisions. She hires YOU as her consultant (aka statistics guru). In this scenario, she wants to know if there is a statistically significant difference between men and women on height. Address the prompts below and use Gender and Height as the variables for this scenario. Please present your assignment as a Word document. Adhere to proper APA format that includes overall document presentation and appropriate reporting of relevant statistics, tables and figures.
- Write an appropriate null and alternative hypothesis.*
- Run the appropriate independent samples t-test pretest criteria. Document results and discuss findings.
- Conduct an independent samples t-test analysis. Document results and discuss findings.
- Conduct a Mann Whitney U analysis. Document results and discuss findings that includes the justification or non-justification of running a non-parametric analysis.
*Tip: Make sure the hypotheses align, and that the hypotheses appropriately reflect the type of statistical analysis.
