Analyzing a Health Care Data Set Overview Public health researchers are often involved in collaborating in the design, development, and analysis of community initiatives of varying complexity. While...

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Answered Same DaySep 14, 2021

Answer To: Analyzing a Health Care Data Set Overview Public health researchers are often involved in...

Bolla V V Satyanarayana answered on Sep 15 2021
144 Votes
Part 1:
1.
The dependent variable Psychological stress score is Interval or rating data.
The variable Age is Ratio data.
Because psychological stress score is measured in the rating. It is not a categorical data. Because it is quantitative data.
2.
Determining the Outliers
Pre-Psychological S
tress Score:
First, we need to find Outliers for the variable Psychological Stress Score. Box plot will provide what are outliers in the data. Using SPSS software to draw Box Plot for Pre-Psychological Stress Score variable to the following data.
Based on the Box plot there is no outliers in the variable Pre-Psychological Stress Score.
Post-Psychological Stress Score:
Similarly, Using SPSS software to draw Box Plot for Post-Psychological Stress Score variable to the following data.
There is one Outlier that is corresponding to Row 10. 10th Row value is 36 is outlier value in the Post Psychological Stress score.
Check the Normality:
Using SPSS software to conduct Shapiro-Wilk test to the following data.
    Tests of Normality
    
    Kolmogorov-Smirnova
    Shapiro-Wilk
    
    Statistic
    df
    Sig.
    Statistic
    df
    Sig.
    Pre-Psychological Stress Score
    .131
    20
    .200*
    .936
    20
    .202
    Post Psychological Stress Score
    .209
    20
    .022
    .855
    20
    .006
    a. Lilliefors Significance Correction
    
    
    
    
    *. This is a lower bound of the true significance.
    
    
    
From the SPSS output
Pre-Psychological Stress Score:
From the SPSS output Shapiro-Wilk test statistic value = 0.936, P-value = 0.202. We compare P -value (0.202) with the level of significance value (0.05). If P value is less than 0.05. The data is not normally distribution. Otherwise if P-value is greater than 0.05. The data is normal distribution. Based on this information From the output (Pre Psychological Stress Score): Here we observe that P-value (0.202) is greater than level of significance value (0.05).So the data is follows Normal distribution.
Post-Psychological Stress Score:
From the SPSS output Shapiro-Wilk test statistic value = 0.855, P-value = 0.006.Here we observe that P-value (0.006) is less than level of significance value(0.05).So the data is not follows Normal distribution.
3.
We Need to Create Cross Tabulation. It will show the relationship between variables Gender and Race using Descriptive Statistic in SPSS
    Gender * Race Crosstabulation
    
    
    
    Race
    Total
    
    
    
    African American
    Asian
    Caucasian
    Hispanic
    Native American
    Two or more races
    
    Gender
    Male
    Count
    2
    2
    3
    1
    1
    1
    10
    
    
    Expected Count
    3.0
    1.5
    2.0
    1.5
    1.5
    .5
    10.0
    
    Female
    Count
    4
    1
    1
    2
    2
    0
    10
    
    
    Expected Count
    3.0
    1.5
    2.0
    1.5
    1.5
    .5
    10.0
    Total
    Count
    6
    3
    4
    3
    3
    1
    20
    
    Expected Count
    6.0
    3.0
    4.0
    3.0
    3.0
    1.0
    20.0
We want to test the hypothesis that there is a significant association between Gender and Race.
Null hypothesis :There is no significant association between Gender...
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