Sheet3IDAGESEXGROUPCHNG_CHOLHDLGLYHB15112-2337.72221122366.9933511-5474.8444921-1514.5353911-15474.8164212-1345.26717111444.7782011-6434.7794922-2435.84105221-3534.441120120345.28125511-9404.641344220424.841423120305.98156321-9544.47166511-10494.671723221515.14184411-7564.59192922-1415.56203311-5544.632118121286.75222212-2384.97234321-3524.31243921-8464.73253822-2415.28262322-1536.72274311-4424.53283722-2395.12294921-2643.98303212-1495.053144210514.253235220454.64334711-4444.523431120365.14353722-1474.67362921-10513.81374921-8693.943835222466.22392821-5493.944050121384.87 © 2018 Laureate Education, Inc. PUBH6032 - Module 6 Application Step-By-Step Guide Step 1: Import the Microsoft Excel data file into SPSS (see Module 4 step-by-step guide) or use the correct saved SPSS data file from Module 4. 1. Open SPSS, select “Open an existing data source,” highlight “More Files,” and click OK. 2. Locate the folder where you saved the Module 4 Application dataset SPSS file, highlight it, and click OK. Step 2: Conduct an independent samples t-test to determine if there is a difference between Group 1 (medication) and Group 2 (placebo) in terms of changes in cholesterol values. Note that the independent variable is GROUP, and the dependent variable is CHNG_CHOL. For this analysis, use the default setting for a two-tailed test of significance. 1. In the top menu bar select Analyze > Compare Means > Independent Sample T Test. 2. Highlight CHNG_CHOL then click on the arrow button to move it over to the “Test Variable(s)” box. 3. Highlight GROUP then click on the arrow button to move it over to the “Grouping Variable” box. 4. Click on the Define Groups button. In the “Group 1” box enter “1.” In the “Group 2” enter “2.” Click Continue. 5. Click OK. Step 3: Conduct a between-subjects ANOVA to determine if there is a difference between sex (males vs. females) and HDL. Note that the independent variable is SEX, and the dependent variable is HDL. For this analysis, use the default setting for a two-tailed test of significance. 1. In the top menu bar select Analyze > Compare Means > One-Way ANOVA. 2. Highlight HDL then click on the arrow button to move it over to the “Dependent List” box. 3. Highlight SEX then click on the arrow button to move it over to the “Factor” box. 4. Click on the Options button and select “Descriptive.” Click Continue. 5. Click OK. Step 4: Conduct a Pearson correlation to determine if there is a relationship between HDL and GLYHB. For this analysis, use the default setting for a two-tailed test of significance. 1. In the top menu bar select Analyze > Correlate > Bivariate. 2. Highlight HDL and GLYHB then click on the arrow button to move it over to the “Variables” box. 3. Click on the Options button and select “Means and standard deviations.” Click Continue. © 2018 Laureate Education, Inc. 4. Click OK. Step 5: Review your SPSS output and answer each of the foll.

1. Sheet3IDAGESEXGROUPCHNG_CHOLHDLGLYHB15112-
2337.72221122366.9933511-5474.8444921-1514.5353911-
15474.8164212-1345.26717111444.7782011-6434.7794922-
2435.84105221-3534.441120120345.28125511-
9404.641344220424.841423120305.98156321-9544.47166511-
10494.671723221515.14184411-7564.59192922-
1415.56203311-5544.632118121286.75222212-2384.97234321-
3524.31243921-8464.73253822-2415.28262322-1536.72274311-
4424.53283722-2395.12294921-2643.98303212-
1495.053144210514.253235220454.64334711-
4444.523431120365.14353722-1474.67362921-
10513.81374921-8693.943835222466.22392821-
5493.944050121384.87
© 2018 Laureate Education, Inc.
PUBH6032 - Module 6 Application Step-By-Step Guide
Step 1: Import the Microsoft Excel data file into SPSS (see
Module 4 step-by-step guide) or use
the correct saved SPSS data file from Module 4.
1. Open SPSS, select “Open an existing data source,” highlight
“More Files,” and click OK.
2. Locate the folder where you saved the Module 4 Application
dataset SPSS file, highlight
it, and click OK.
Step 2: Conduct an independent samples t-test to determine if

2. there is a difference between
Group 1 (medication) and Group 2 (placebo) in terms of
changes in cholesterol values. Note
that the independent variable is GROUP, and the dependent
variable is CHNG_CHOL. For this
analysis, use the default setting for a two-tailed test of
significance.
1. In the top menu bar select Analyze > Compare Means >
Independent Sample T Test.
2. Highlight CHNG_CHOL then click on the arrow button to
move it over to the “Test
Variable(s)” box.
3. Highlight GROUP then click on the arrow button to move it
over to the “Grouping
Variable” box.
4. Click on the Define Groups button. In the “Group 1” box
enter “1.” In the “Group 2”
enter “2.” Click Continue.
5. Click OK.
Step 3: Conduct a between-subjects ANOVA to determine if
there is a difference between sex
(males vs. females) and HDL. Note that the independent
variable is SEX, and the dependent

3. variable is HDL. For this analysis, use the default setting for a
two-tailed test of significance.
1. In the top menu bar select Analyze > Compare Means > One-
Way ANOVA.
2. Highlight HDL then click on the arrow button to move it over
to the “Dependent List”
box.
3. Highlight SEX then click on the arrow button to move it over
to the “Factor” box.
4. Click on the Options button and select “Descriptive.” Click
Continue.
5. Click OK.
Step 4: Conduct a Pearson correlation to determine if there is a
relationship between HDL and
GLYHB. For this analysis, use the default setting for a two-
tailed test of significance.
1. In the top menu bar select Analyze > Correlate > Bivariate.
2. Highlight HDL and GLYHB then click on the arrow button to
move it over to the
“Variables” box.
3. Click on the Options button and select “Means and standard
deviations.” Click Continue.

4. © 2018 Laureate Education, Inc.
4. Click OK.
Step 5: Review your SPSS output and answer each of the
following questions:
1. Mean and standard deviation can be found in the Group
Statistics (T Test), Descriptives
(ANOVA), and Descriptive Statistics (Pearson correlation)
tables.
2. The t-test score and probability (significance value) can
found in the Independent
Samples Table, under t-test for Equality of Means. Look for
“Equal variances assumed”
on the left side of the table and follow over to the “t” and “Sig.
(2-tailed)” columns.
3. The F-value and probability (significance value) can be found
in the ANOVA table. Look
for “Between groups” on the left side of the table and follow
over to the “F” and “Sig.”
columns.
4. The Pearson correlation score and probability (significance
value) can be found in the

5. Correlations table. Look for “Pearson correlation” listed next to
HDL on the left side of
the table and follow over to the value listed under the GLYHB
column. Notice that this
value is listed a second time below. This is because the table
reports the Pearson
correlation in two combinations, HDL-GLYHB and GLYHB-
HDL. The values should be the
same.
Step 6: Paste each required frequency distribution table below.
1. In the Viewer pane, select File > Export.
2. Under “Objects to Export,” select All.
3. From the “Type” drop-down list, select Word/RTF (*.doc).
4. In “File Name,” give the output a unique name (e.g.,
OUTPUT_Module6). (Note the file
folder where the Word document will be saved. The default is
typically C:Documents.)
5. Click OK to generate the Word file.
*Now you can cut-and-paste the information from this Word file
into the Module worksheet.

6. PUBH6032 - Module 6 Application Assignment Worksheet
Analyzing Quantitative Data
Instructions
For this assignment, you perform a two-sample independent t-
test, an ANOVA, and a correlation analysis related to the data
set that has been utilized in the previous two modules. Import
the data into SPSS or, if you correctly saved the data file from
the Module 4 and 5 Assignments, you may open and use that
saved file to complete this Assignment. Type your answers to
all questions directly into the worksheet, and paste the required
output at the end of this document.
Submit this Application Assignment by Day 7 of Week 11.
Research Scenario
A researcher is interested in the effect of a new medication on
serum cholesterol, HDL cholesterol, and glycosylated
hemoglobin of adults. The researcher randomly selects a
sample of 40 (20 male and 20 female) participants who have
been diagnosed with high cholesterol. Assuring equal
distribution of males and females, the participants are randomly
assigned to one of two conditions (or groups): Following
pretest measures of serum cholesterol (chol), high-density
lipoprotein cholesterol (HDL), and glycosylated hemoglobin
(glyhb), the experimental group (Group 1) is given the
medication for a period of 6 months while the control group
(Group 2) is given a placebo. After the 6 months, chol, HDL,
and glyhb are again measured.

7. The posttest data for each participant are provided in the
Module 4 Application Assignment Data Set Excel file and can
be found in the Module 6 Learning Resources. The codebook for
the data provided is as follows:
AGE Age in years
SEX 1 = male, 2 = female
GROUP 1 = medication, 2 = placebo
CHNG_CHOL change in cholesterol from pretest to posttest
HDL High-density lipoprotein at posttest
GLYHB Glycosylated hemoglobin at posttest
---------------------------------------------------------------------------
------------------------------------------
Step 1: Import the Microsoft Excel data file into SPSS or use
the correct saved SPSS data file as noted in the instructions
above.
Step 2: Conduct an independent samples t-test to determine if
there is a difference between Group 1 (medication) and Group 2
(placebo) in terms of changes in cholesterol values. Note that
the independent variable is GROUP, and the dependent variable
is CHNG_CHOL. For this analysis, use the default setting for a
two-tailed test of significance. (Be sure to save your output.)
Step 3: Conduct a between-subjects ANOVA to determine if
there is a difference between sex (males vs. females) and HDL.
Note that the independent variable is SEX, and the dependent
variable is HDL. For this analysis, use the default setting for a
two-tailed test of significance. (Be sure to save your output.)
*Note on Step 3: T-test and ANOVA are parametric statistical
techniques to test a hypothesis. Typically we use a t-test to
compare the means of two populations and ANOVA to compare
the means of more than two populations. For this analysis,
please disregard this rule and use ANOVA to compare the

8. means of males vs. females. We would like you to understand
how to conduct a simple comparison between two groups using
both techniques.
Step 4: Conduct a Pearson correlation to determine if there is a
relationship between HDL and GLYHB. For this analysis, use
the default setting for a two-tailed test of significance. (Be sure
to save your output.)
Step 5: Review your SPSS output and answer each of the
following questions:
From the independent samples t-test output:
1. What is the mean CHNG_CHOL for Group 1?
_____________
2. What is the CHNG_CHOL standard deviation for Group 1?
_____________
3. What is the mean CHNG_CHOL for Group 2?
_____________
4. What is the CHNG_CHOL standard deviation for Group 2?
_____________
5. What is the calculated t-score (equal variances assumed)?
_____________
6. What is the probability that the obtained t-score was simply
due to chance as opposed to actual gender differences [see “Sig
(two-tailed)” on output]? _____________
7. If the probability associated with the obtained t-score is
<0.05, we assume the results (difference in mean CHNG_CHOL
between groups) are much more likely due to the effects of the
medication than to chance. In other words, we would say the
results are statistically significant. Are the results statistically
significant (yes or no)? ________

9. From the ANOVA output:
8. What is the mean HDL for group males? _____________
9. What is the HDL standard deviation for males?
_____________
10. What is the mean HDL for group females? _____________
11. What is the HDL standard deviation for females?
_____________
12. What is the calculated F-value? _____________
13. What is the probability (noted as “Sig” on output) that the
obtained F-value was simply due to chance as opposed to actual
gender differences? _____________
From the correlation output:
14. What is the Pearson correlation score for HDL and GLYHB?
__________
15. What is the direction of the correlation value and what does
this mean?
_____________________________________________________
_
_____________________________________________________
_
16. What is the probability for the obtained Pearson correlation
score [see “Sig (two-tailed)” on output]? _____________
17. If the probability associated with the Pearson correlation is
<0.05, we assume a significant relationship. Is there a
significant relationship between HDL and GLYHB?
__________
Step 6: Paste all required SPSS output below.
© 2018 Laureate Education, Inc.
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