Introduction to Statistical Analysis Using IBM SPSS Statistics, Student Guide” to complete the assignment.
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Download This Course:
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RES 866 Module 5 Problem Set And Discussions
RES 866 Module 5 Problem Set
Details:
Some commonly employed statistical analyses
include correlation and regression. In this assignment, you will practice
correlation and regression techniques from an SPSS data set.
General Requirements:
Use the following information to ensure
successful completion of the assignment:
- Review “SPSS Access Instructions” for information on how to access
SPSS for this assignment.
- Access the document, “Introduction to Statistical Analysis Using
IBM SPSS Statistics, Student Guide” to complete the assignment.
- Download the file “Bank.sav” and open it with SPSS. Use the data to
complete the assignment.
- Download the file “Census.sav” and open it with
SPSS. Use the data to complete the assignment.
Directions:
Perform the following tasks to complete this
assignment:
- Locate the data set “Bank.sav” and open it with SPSS. Follow the
steps in section 10.15 Learning Activity as written. Answer questions 1-3
in the activity based on your observations of the SPSS output.Type your answers
into a Word document. Copy and paste the full SPSS output including any
supporting graphs and tables directly from SPSS into the Word document for
submission to the instructor. The SPSS output must be submitted with the
problem set answers in order to receive full credit for the assignment.
- Locate the data set “Census.sav” and open it with
SPSS. Follow the steps in section 11.16 Learning Activity as written.
Answer questions 1, 2, 3, and 5 in the activity based on your observations
of the SPSS output. Type your answers into a Word document. Copy and paste
the full SPSS output including any supporting graphs and tables directly
from SPSS into the Word document for submission to the instructor. The
SPSS output must be submitted with the problem set answers in order to
receive full credit for the assignment.
RES 866 Module 5 Discussions
RES 866 Module 5 DQ 1
Assume that you are interested in the
relationship between Graduate Record Examinations (GRE) scores (the total of
all subtests) and graduate school grade point averages (GPAs) at the end of
their graduate programs. Conveniently, you have access to the GRE scores and
GPAs of a large number of graduate students who have graduated from the
electrical engineering master’s program in an Ivy League university between
2000 and 2013. The Pearson correlation coefficient did not reach significance.
What can you conclude from the data analysis? Can the result be generalized to
all graduate students in electrical engineering master’s programs across the
United States? Why or why not?
RES 866 Module 5 DQ 2
A researcher asks the question “Is there a
relationship between GRE total scores and GPAs in the master’s programs in
electrical engineering?” The researcher’s null hypothesis states, “There is no
correlation between GRE total score and GPA from an electrical engineering
master’s program.” The researcher’s alternative hypothesis states, “There is a
positive correlation between GRE total scores and GPA from an electrical
engineering master’s program.”
Are these valid hypotheses for the research
question? Why or why not? What other observations can you make regarding the
hypotheses and research question?
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