N404 Module 5 Graded Assignment
Using the Hardiness data set, analyze the following hypothesis with a chi square analysis:
There is a difference in the blood pressure control of males and females.
1. State the Null Hypothesis (1 point):
There is no significant difference in the blood pressure control of males and
females.
2.
What are the variable ( 1 point):
IV (independent variable) = Gender
DV (dependent variable) = Blood pressure control
Test this hypothesis using the Chi Square test for Independence. To run the analysis,
open the data set and follow these commands: (1 point)
Analyze
Descriptive Statistics
Crosstabs
When in Crosstabs, you need to move the variables into the Rows and Columns.
a.
b.
c.
d.
e.
Put the IV into the row by highlighting the variable and clicking on the arrow
between the variable list and the row box.
Put the DV into the column by highlighting the variable, then click on the arrow
to move it to the column box.
Next click on the statistics box and check the chi square box. Continue.
Next click on the Cells box and check percentages for total. Continue.
Then click OK, and the Chi Square analysis will begin. When it’s done, you will
see an output screen with your analysis.
3. Are all the assumptions met (mutually exclusive categories, nominal or ordinal
level data, at least 5 subjects in each cell)? (2 points)
Answer: The assumptions are met for the category’s, they are mutually exclusive
because only one observation can fit into each category, and each subject can only
be used once. The level of data assumption are met, because both variables gender
and blood pressure control are nominal.
Cells: The assumption of a minimal of 5 subjects per cell is met. There are 0 cells
that have less than 5 subjects. So the interpretation of the data should be accurate.
4. Write up the interpretation of the findings including a summarization of the chi
square results and the conclusions as to whether the hypothesis was supported or
not supported. Include a two dimensional frequency table to present your
findings. (4 points)
Answer: Blood pressure control was compared in male verses female using the
chi square test of independence. The data shows no significant difference in
blood pressure control of males and females. (Chi square=.108, df-1, p=.743).
The obtained value does not exceed the critical value; therefore, the Null
Hypothesis is the most favorable choice.
gender * bpcont Crosstabulation
bpcont
yes
gender
female
Count
Expected Count
% of Total
male
% of Total
Total
10
31
21.5
9.5
31.0
42.9%
20.4%
63.3%
13
5
18
12.5
5.5
18.0
26.5%
10.2%
36.7%
34
15
49
34.0
15.0
49.0
69.4%
30.6%
100.0%
Count
Expected Count
% of Total
Total
21
Count
Expected Count
no
5. Submit a copy of your chi square analysis (copy/paste it to this document) (1
point).
Chi-Square Tests
Value
Pearson Chi-Square
Continuity Correction
b
Likelihood Ratio
df
Asymp. Sig. (2-
Exact Sig. (2-
Exact Sig. (1-
sided)
sided)
sided)
.108a
1
.743
.000
1
.995
.108
1
.742
Fisher's Exact Test
Linear-by-Linear Association
N of Valid Cases
1.000
.105
1
.745
49
a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 5.51.
b. Computed only for a 2x2 table
.502