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In preparation for this unit’s statistical analysis practice and the unit assignment, you will have an opportunity to explore some basic statistical concepts that involve the sample. The Emotional...

In preparation for this unit’s statistical analysis practice and the unit assignment, you will have an opportunity to explore some basic statistical concepts that involve the sample.

The Emotional Well-Being data set is based on a fictional study in which a researcher was interested in determining if a vegetarian diet was a beneficial to the well-being of people living in Alaska, as was found in other research locations where sun exposure was greater.

Based on previous publications, the researcher selected the Short Form Health Survey (SF-36) as the instrument for measuring the efficacy of the different dietary treatments. The current data set recruited a fairly large number of participants (n=72) to answer this question.

Instructions

For this post, refer to the guidelines in the FEM and use the provided data set linked in Resources to complete the following:

1. Create two smaller samples (n=10 and n=5) from the original Emotional Well-Being population data setusing SPSS's Stratified Random Sampling tool.
2. Performadescriptiveanalysisofthekey variables in each of these new data sets(variables:BaselineSF-36Well-BeingScore, Post-Tx Well-Being Score,BMI, Age)and compare your resultsto the original,larger data set's descriptive analysis results.Report your findings.
3. Use this unit’s resources to help youexplain your results in terms of differences in sampling error, sample representativeness, descriptive statistical estimates with related confidence interval, and power.
4. Speculate as to what would have happened were the sample size smaller.
5. Describe one or two of the challenges you found while performing these exercises and how you resolved the issues. Where appropriate, provide the address of any website that helped you.
Answered Same Day Aug 10, 2021

Solution

Gajula Nagasai answered on Aug 10 2021
1) Stratified random Sampling: In general Stratified Random sampling means divide the whole Population into equal Strata ( sub groups) and select the samples from each group randomly
The following table is Samples (n-10) taken by using Stratified random Sampling.
Patient No
Age (yrs)
Gender (0=M, 1=F)
Race (1=AA, 2=C, 3=H)
BMI
Dietary treatment (1=Std, 2=veg)
Baseline SF-36 Well-Being Score
Post-TX Well-Being
1
45
Male
1
27
Standard
65
66
39
77
Male
1
42
Standard
43
43
62
52
Male
2
34
Standard
78
93
6
27
Male
3
24
Vegetarian
58
100
68
39
Male
3
22
Vegetarian
22
99
14
59
Female
3
29
Vegetarian
79
42
51
73
Female
1
37
Vegetarian
48
78
10
75
Female
1
32
Standard
56
56
36
26
Female
2
41
Standard
64
60
64
52
Female
1
25
Standard
46
95
The following table is Samples (n-5) taken by using Stratified random Sampling.
Patient No
Age (yrs)
Gender (0=M, 1=F)
Race (1=AA, 2=C, 3=H)
BMI
Dietary treatment (1=Std, 2=veg)
Baseline SF-36 Well-Being Score
Post-TX...
SOLUTION.PDF