Contact us:
+1 (520) 226-8615
Email:
[email protected]
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. |
Your Name:
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.
Rememberto 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 Exam Points. 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?