This assignment tests your ability to correctly identify and apply statistical techniques, describe and interpret results, and present managerial recommendations. You will be graded on each of these concepts. Always create your own tables to present the results. Simple copying and pasting the SPSS tables will reduce your grade (you may copy/paste histograms from SPSS). First copying/pasting into Excel (or other) than copying/pasting into SPSS is the same thing. Be sure to create presentation quality tables from the raw data tables produced by SPSS. Keep in mind that a table may not be necessary for every question. Assume any data errors you discover are double-entries which should be corrected to single-entries (e.g., 44 should be 4). Not finding and correcting these errors means your other answers will probably be wrong. Be sure to properly list results (e.g., sort means in descending order, etc.) rather than a random (i.e., lack of meaning) order. Download the SPSS file “Avery Fitness Center MR 2015.sav” from Blackboard>Assignments. Refer to both the survey (p. 357) and codebook (p. 358) for guidance. The class handouts and Chapters 17 and 18 provide examples of the needed techniques and interpretations. The class handouts and Chapters 19 and 20 provide guidance on how to best present your results. Unless specified otherwise, use an alpha of .05. Be sure to report all relevant values (e.g., chi-square, et cetera). Also use a 95% confidence level where appropriate unless told otherwise. The Guide to Using SPSS , the textbook, and the class handouts will help you use SPSS. When done, submit a single Word document with your “lastname” in the filename on Blackboard>Assignments>SPSS Homework Submission. NOTE : The results you get will be DIFFERENT from the exhibits in the book! Remember to use relevant data to thoroughly explain and analyze your answers. In addition to the correct answers, you will be graded on the clarity of communication including the appearance of exhibits (e.g. tables). Presenting the SPSS tables will lower your grade. The tables you submit should be created in either Word or Excel (or similar). This is an INDIVIDUAL assignment. Sharing of answers, data, tables, analysis, et cetera is strictly prohibited. While it is acceptable to ask a classmate on how to use SPSS, you cannot work together on the analysis of the data, creation of the tables, or any other component of this project. If you do then you are violating the Academic Integrity policy and subject to receiving a failing grade for the course . Your papers will be submitted through turnitin.com (via Blackboard) and checked for originality. Furthermore each file will be inspected for evidence of collaboration. Working side-by-side or sharing of files is a violation of the academic integrity policy and all parties involved will be reported to the Associate Provost. DO NOT allow someone else to have access to your files. You will be held responsible if s.

1. This assignment tests your ability to correctly identify and
apply statistical techniques, describe and interpret results, and
present managerial recommendations. You will be graded on
each of these concepts.
Always create your own tables to present the results. Simple
copying and pasting the SPSS tables will
reduce your grade
(you may copy/paste histograms from SPSS).
First copying/pasting into Excel (or other) than copying/pasting
into SPSS is the same thing. Be sure to create presentation
quality tables from the raw data tables produced by SPSS.
Keep in mind that a table may not be necessary for every
question. Assume any data errors you discover are double-
entries which should be corrected to single-entries (e.g., 44
should be 4). Not finding and correcting these errors means
your other answers will probably be wrong. Be sure to properly
list results (e.g., sort means in descending order, etc.) rather
than a random (i.e., lack of meaning) order.
Download the SPSS file “Avery Fitness Center MR 2015.sav”
from Blackboard>Assignments. Refer to both the survey (p.
357) and codebook (p. 358) for guidance.
The class handouts and Chapters 17 and 18 provide examples of
the needed techniques and interpretations. The class handouts
and Chapters 19 and 20 provide guidance on how to best present
your results. Unless specified otherwise, use an alpha of .05. Be
sure to report all relevant values (e.g., chi-square, et cetera).
Also use a 95% confidence level where appropriate unless told
otherwise. The
Guide to Using SPSS
, the textbook, and the class handouts will help you use SPSS.
When done, submit a single Word document with your

2. “lastname” in the filename on Blackboard>Assignments>SPSS
Homework Submission.
NOTE
: The results you get will be DIFFERENT from the exhibits in
the book!
Remember to use relevant data to thoroughly explain and
analyze your answers. In addition to the correct answers, you
will be graded on the clarity of communication including the
appearance of exhibits (e.g. tables). Presenting the SPSS tables
will lower your grade. The tables you submit should be created
in either Word or Excel (or similar).
This is an
INDIVIDUAL
assignment. Sharing of answers, data, tables, analysis, et cetera
is strictly prohibited. While it is acceptable to ask a classmate
on how to use SPSS, you cannot work together on the analysis
of the data, creation of the tables, or any other component of
this project. If you do then you are violating the Academic
Integrity policy and subject to receiving a failing grade for the
course
. Your papers will be submitted through turnitin.com (via
Blackboard) and checked for originality. Furthermore each file
will be inspected for evidence of collaboration.
Working side-by-side or sharing of files is a violation of the
academic integrity policy and all parties involved will be
reported to the Associate Provost. DO NOT allow someone else
to have access to your files. You will be held responsible if
someone else uses your file/work even if they do not have your
permission.
Violating the Academic Integrity policy may result in failing
the course.

3. Remember to:
·
Report all relevant statistics including t, F, df and significance
levels, et cetera.
·
Where appropriate, show and explain if the results are
significant. Simply including/reporting a significance number is
not adequate.
·
Provide complete and thorough interpretations of the individual
variable and, where appropriate, in comparison to other
variables (e.g., Importance variables).
·
Use tables and/or graphs, with accompanying commentary,
where appropriate.
Questions:
1.
How many total cases are in the data file?
2.
What mistakes, if any, did you find and correct? Complete the
following table (add any additional rows as needed) with any
errors you found and corrected.
Case ID#
Variable
Mistake
Correction

4. 3.
How many variables are in the file?
4.
How many respondents have visited AFC within the last 30
days?
5.
Using only the standard deviation for each of the Importance
variables, which variable had the greatest amount of agreement?
List these four variables in table below in order of most to least
agreement.
Importance Variable
Standard Deviation

5. Create and present a Frequency table to present your answers to
the following questions:
6.
What percentage of the respondents who answered the Gender
question is male?
7.
What percentage of everyone who took the survey is female?
Create and present a single Frequency table
using the variable Income and answer the following questions:
8.
What percentage of the respondents who answered the question
make over $120,000 per year?
9.
What percentage of the respondents who answered the question
reported making $60,0000 or less per year?
10.
What percentage of the respondents who answered the question
reported making over $30,000 per year?
11.
What percentage of the survey respondents reported making
between $60,001 and $75,000 per year?
Create and present a Histogram
with a normal curve (can use the SPSS graph) using the

6. variable Age and answer the following questions:
12.
What are the mean, standard deviation, and count for age?
13.
What are the upper and lower boundaries (i.e., ages) of the
normal distribution? How did you calculate these numbers
(show your calculations)?
14.
Identify (by specific ages and frequency) any outliers (if any).
15.
If there are outliers, what do you recommend be done with them
and why?
Create
and present
a Frequency table using the variable Work Status:
16.
Based on the percentages of those currently Retired, calculate
the sampling error for
EACH
proportion (the
formula is in the book
). Be sure to show and explain the numbers you used. Also be
sure to show the resultant confidence interval. Show if the
proportions are different from each other.
Createand present
a
single

7. table that lists the following:
17.
Percentages and counts for each category of the four continuous
Importance variables: General Health/Fitness, Social Aspects,
Physical Enjoyment, and Specific Medical Concerns;
18.
The top two boxes for each of these variables;
19.
The mean, median, and standard deviation for each variable and
the variable’s sampling error (formula in the book). Show how
you calculated the sampling error. Sort the variables from the
largest mean to the smallest.
Be sure to show the ranking numbers (e.g., 1,2,3,4).
Create a
single
table to compare the means between:
20.
The pairs of all of these four continuous Importance variables
(General Fitness; Social Aspects; Physical Enjoyment; Specific
Medical Concerns). Explain if there are/are not significant
differences between each pair of variables.
21.
List
all
the variables in the table in the order of most important to least
important (be sure to show why/how you determined the level of
importance).
Run

8. a One-sample T-test and present a table to determine:
22.
If the average number of monthly visits (i.e., the variable
Visits) is significantly different from the national average of
eight. Interpret and explain your relevant results. Be sure to
report the mean difference, t-value, degrees of freedom, and
significance level.
Create and present a Cross-tabulation table of the variables Pool
and Doctor.
23.
What percentage of the total sample utilized the therapy pool?
24.
What percentage of
those
who used the therapy pool did a doctor recommend?
25.
What percentage of
those
recommended by a doctor utilized the therapy pool?
26.
Show and explain if the results are significant.
27.
How strongly, if at all, are the variables associated with each
other?
Show in a table:
28.
The comparison of the means between the number of Visits and

9. the work status of members. Explain, and show, if the means are
significantly different from each other.
Run and interpret a
correlation
analysis and create a single table that:
29.
Uses the four Importance variables (General Fitness; Social
Aspects; Physical Enjoyment; Specific Medical Concerns)
showing the correlations and which are significant.
30.
Replace the diagonal values with the respective means in the
table.
Run and interpret a linear
regression
analysis using Revenue as the dependent variable. The
independent variables are the four Importance variables used
above, and the variables Likely To Recommend and Age.
31.
Show evidence if the model is or is not significant.
32.
What is the coefficient of multiple determination for the model?
How do you interpret it?
33.
Which variables, if any, are significant? How do you know that
they are significant? Interpret the effect each significant
variable has on the dependent variable.
34.
Are the results and your interpretation the same if the alpha is

10. changed to .10?
Recommendations
35.
Based on your analysis of ALL the data in this assignment,
write clear and specific managerial recommendations.