Expert answer:Project-Interpret correctly the output from SPSS a
Answer & Explanation:I need some help on this projectMM570 Unit 9 Assignment vlopes2015.docx
mm570_unit_9_assignment_vlopes2015.docx
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MM570 Applied Statistics for Psychology
Unit 9 Project: Descriptive Statistics
This is a course level assessment assignment. MM570-3: Interpret correctly the output from SPSS
analyses/statistical tests.
Your Name:
HINTS AND HELP
Dataset: Stat_Grades.sav can be found in Doc Sharing under the Instructor Graded Projects
category.
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 question, follow the appropriate steps.
1) Write the hypothesis – Construct the null(s) and alternative(s) clearly and appropriately.
3) Run the appropriate SPSS test(s) 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.
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Point Possible
A: 153 – 170 points
Grading Criteria
Student work demonstrates mastery of the objectives assessed by
the Assignment. This is evidenced by at least the following:
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The selection of the statistical procedure(s) is/are the most
appropriate ones for answering the questions; specifically, the
correct ANOVA test method 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. in SPSS) 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 and
Ho and Ha are clearly written.
All aspects of the tests are included and explained, including
the Post Hoc results and the interaction plot.
Appropriate regression prediction equations are created and
evaluated.
Use alpha = .05 for this project.
1. Compare the different Sections (1, 2, and 3) of students in the Stat_Grades.sav dataset to
determine if there is a statistically significant difference in the average Final Exam Points
between the different class sections. In other words, just like at Kaplan, there are different
sections of the same class. The dataset Stat_Grades.sav has data from three sections of
statistics classes. Be sure to state the hypothesis, state Ho and Ha, include and explain all SPSS
results, and write final conclusions for the full results of the test. Include Post Hoc results and
the plot. Be sure that your final conclusions are written in common terms for an average person
to understand.
(a) What is the hypothesis being tested?
(b) What are Ho and Ha?
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(c) What statistical test will you run – and include all the SPSS outputs (including the plot and
post hoc)?
(d) Explain the full results for the statistical test that you ran above. Was a post hoc actually
needed in this case? Why or why not? Does the Post Hoc confirm your results, explain? What
does the plot tell you about the interaction, explain?
(e) Write a full conclusion for all results on this test in a way that can be understood by a nonstatistical person. This answer will be at least 100 words or more.
2. Extend the hypothesis from number one above. Compare the different ethnicities of the
students in the Stat_Grades.sav dataset and the sections to determine if there is a statistically
significant difference in the average Final Course Percent (percent) between the different
ethnicities and different sections. Be sure to state the hypothesis, state all Ho and Ha, include
and explain all SPSS results, and write final conclusions for the full results of the test. Include
Post Hoc results, note any interactions and whether they are significant, and include and
explain the plot. Be sure that your final conclusions are written in common terms for an
average person to understand.
(a) What is the hypothesis being tested?
(b) What are the set of Ho’s and Ha’s?
(c) What statistical test will you run – and include all the SPSS outputs (including the plot and
post hoc)?
(d) Explain the full results of the statistical test you have run. Was a post hoc actually needed in
this case? Why or why not? Does the Post Hoc confirm your test results, explain? What does
the plot tell you about the interaction, explain?
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(e) Write a full conclusion for all results on this test in a way that can be understood by a nonstatistical person. This answer will be at least 100 words or more.
3. Prediction and Regression. If you recall from the Unit 3 Project, you looked at how to measure the
relationship (correlation) between any two variables. You also learned that if two variables are strongly
correlated (related) with each other, that one variable can be used to estimate or predict the other. The
equation used to make this prediction is called a regression equation.
Use the following SPSS outputs to answer the questions. The two variables in this case are Quiz 1 and
Total Points.
(a) What are the two variables that this question is investigating? Notice that the SPSS output above tells
you that the r-value (called “R”) is .823. Is this r-value strong enough to allow you to perform prediction
between these two variables? Explain.
(b) Using the “Coefficients” SPSS output above, create the prediction equation. Remember that your
independent or “x” variable is Quiz 1 and your dependent or “y” variable is Total Points. Write the
prediction equation here.
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(c) Using the prediction equation that you created in part (b), predict the Total Points for a student with
a Quiz 1 value of 6.5. Show all work.
4. From the Stat_Grades.sav dataset, use Quiz 3 and Quiz 5 to answer these questions. The question you
will be considering here as you answer the questions below is “Is the score on Quiz 3 highly correlated to
the score on Quiz 5 and can one be used to estimate or predict the other?”
(a) What is the correlation or relationship (r-value) between Quiz 3 and Quiz 5? Is it weak, medium, or
strong? Is it strong enough to use for prediction?
(b) Use SPSS and run a regression analysis on Quiz 3 and Quiz 5. Place the SPSS “Coefficients” output
(only) here.
(c) Use the SPSS output to create the regression (prediction) equation. Remember, you are trying to
predict how a student will perform on Quiz 5 based on how they do on Quiz 3. What is your dependent
(y) variable? What is your independent (x) variable? Write the prediction equation here.
(d) Use your prediction equation to predict how a student would perform on Quiz 5 if they got a 8.5 on
Quiz 3. Show all work.
Submitting your Project
Make sure your name is on your project and saved to your computer. When you are ready to submit
your completed project, click on the Dropbox and complete the steps below:
• Click the link that says “Submit an Assignment.”
• In the “Submit to Basket” menu, select Unit 9: Project.
• In the “Comments” field, include your name and Unit 9 Project.
• Click the “Add Attachments” button.
• Follow the steps listed to attach your Word document.
• You should revisit the Dropbox to view any helpful feedback your instructor has left for you.
• Make sure that you save a copy of your submitted and returned assignment.
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