Posted: September 13th, 2017

unit 6 project

unit 6 project

Order Description

This is a course level assessment assignment. MM570-2: Compare group means with a single or multiple independent variables using the appropriate statistical test.
Rubric for Unit 6 Assignment
MM570 Unit 6 Assignment Grading Rubric
Point Possible Grading Criteria
A: 153 – 170 points Student work demonstrates mastery of the objectives assessed by the Assignment. This is evidenced by at least the following:

• The selection of the statistical procedure(s) is/are the most appropriate ones for answering the questions; specifically, the correct t-test is selected for each question.
• The statistical procedure was calculated correctly using SPSS.
• The interpretation of the SPSS output is correct and complete, including applying the Sig. (2-tailed) p-value to determine null hypothesis rejection.
• The results of the statistical analyses are presented in easy to understand, non-statistical language that addresses the research question.
• SPSS output that is not needed in the solution is not included. Only appropriate SPSS output are included.
• Each step of the hypothesis testing procedure is included, including the statement of the hypothesis, inclusion of the null and alternative hypothesis Ho and Ha, results from the hypothesis t-test, and complete clearly written conclusions.

For this Project, you will use the “Statistics Class” dataset called Stat_Grades.sav, which can be found in the Doc Sharing area under the Graded Projects category. This same “Statistics Class” dataset is used for all the class projects. The Stat_Grades.sav dataset contains data collected about students in three sections of a statistics class taught by an instructor. You will also use SPSS for this project.
HINTS AND HELP

Note: When asked to include the interpretation of the results and final conclusions, be sure to include all results, an interpretation of the meaning of the results, and final conclusions that a common person can understand. Make sure you use complete sentences, paragraph form (single spacing), proper grammar, and correct spelling. Minimal or incomplete responses can lose points. Include any SPSS results that you use, but do not include SPSS results that are not part of your solution.

Hint: You are asked to determine “appropriate” tests and methods, and to make calculations. This means that you will have to determine which tests or methods are best and why.

Remember to always show all of your work and each of your steps.
For each hypothesis testing question, follow the appropriate steps.
1) Write the hypothesis
2) Construct the Ho and Ha clearly and appropriately. Note the means you are comparing.
3) Run the appropriate SPSS test and include the appropriate results
4) Explain and evaluate the SPSS results
5) Write a complete and paragraph form conclusion that can be understood by a normal non-statistical person.

Use the Live Binder for further assistance. There is a link to the Live Binder under every Unit.

Place all answers, work, and graphs in this document.
Use alpha = .05 for all hypothesis testing questions.
** Please use non-directional two-tailed tests for these questions (not one-tailed tests).

1. Recall that the dataset, Stat_grades.sav, contains data for a sample of 105 statistics students. One of the variables in this dataset is called, gender. This variable is either “1” for “Female”, or “2” for “Male”. The Instructor is wondering if gender affects student performance as measured using Final Course Percentage (called Percent) . Using the appropriate statistical test, methods, and evaluations, determine if Gender made a significant difference in Final Course Percent. Be sure to include each step of the process, any SPSS results used, an interpretation of the results, and the final conclusions.

(a) What is the hypothesis being tested here?

(b) What are Ho and Ha?

(c) What is the name of the test you will run? Run the appropriate SPSS test and include the SPSS output here.

(d) What are the results of the test? What is the p-value and is it larger or smaller than the alpha value – show your work and explain the result.

(e) Write a conclusion for the above in plain English so that any person could understand. What can you say about gender and its effect on overall performance?

2. Based on many years of past classes and experience, the Instructor for the students in the Stat_Grades.sav dataset has determined that a successful mean value for Total Points is 90 points. Does the Total Points for the students in Stat_Grades.sav differ significantly from the known success value of 90 points? Use and include the appropriate statistical test, methods, and evaluations. Be sure to include each step of the process, any SPSS results used, an interpretation of the results, and final conclusions.

(a) What is the hypothesis being tested here?

(b) What are Ho and Ha?

(c) What is the name of the test you will run? Run the appropriate SPSS test and include the SPSS output here.

(d) What are the results of the test? What is the p-value? Compare the p value to alpha and note the result.

(e) Explain the conclusion in plain English so that any person could understand. Did the students in Stat_Grades.sav do significantly differently than the population mean of 90? How did they do and what did you find? Explain.

3. Using the Stat_Grades.sav dataset, compare Quiz 1 and Quiz 2 to determine if there is a statistically significant difference in the average student performance between these two quizzes. Use and include the appropriate statistical test, methods, and evaluations. Be sure to include each step of the process, any SPSS results used, an interpretation of the results, and final conclusions.

(a) What is the hypothesis being tested here?

(b) What are Ho and Ha?

(c) What is the name of the test you will run? Run the appropriate SPSS test and include the SPSS output here.

(d) What are the results of the test? What is the p-value? Compare the p value to alpha and note the result.

(e) Explain the result and conclusion of the test in plain English so that any person could understand.

4. Use the following SPSS output to answer these questions. The hypothesis here is: “Is there a significant difference in Final Exam Points between lower division students and upper division students (variable: lowup)?”

(a) What is Ho and Ha?

(b) What t-test is being used?

(c) What is the p value? (Assume equal variances)

(d) Using alpha at .05, what is the result of this test?

(e) Write the full conclusion for this test in plain English so anyone can understand.

(f) How many Lower Division students are in this sample of data? Is the mean points for lower division students different than it is for upper division students? Is it significantly different? What does it mean to be significantly different (versus just different)?