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Posted: March 3rd, 2022
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Here are the steps:
Go to the website, then copy the variable name into the “search term ” box, then click search, then find the variable in the 2015-2016 and click. It is going to take you to another page, find and click the DOC file. And check the variable information
A random 24 subjects were recruited from NHANES 15-16 cycle for subjects’ systolic blood pressure (mm Hg):
116 134 136 136 98 120 100 112 120 180 106 150 112 108 106 124 132 120 148 138 102 142 106 130
1. Conduct a one sample T test to investigate whether the average systolic blood pressure is equal to the historical control 110 mm Hg.
(Show your work. And attache your SAS output if needed)
1) Calculate the point estimate (average systolic blood pressure)
2) Calculate standard error
3) Calculate the test statistics
4) Find the critical value
5) Find the p value
6) Interpret the result from t test statistics
2. Construct and interpret the 95% confidence interval to estimate the average systolic blood pressure
(Show your steps to construct the 95% confidence interval)
3. State conclusion for the study
A random 8 kindergarten children were recruited to participate pre and post instruction assessments. They were assessed before and after instruction and their grades were recorded to investigate whether there is a difference between pre and post grades:
ID
1
2
3
4
5
6
7
8
Pre
80
60
77
90
100
70
96
98
Post
85
63
73
92
100
85
94
100
Pre-Post
1. Conduct paired t test to investigate whether the difference between pre and post assessments is 0.
(Show your work. And attache your SAS output if needed)
1) Calculate the point estimate (the average of grade difference)
2) Calculate standard error
3) Calculate the test statistics
4) Find the critical value
5) Find the p value
6) Interpret the result from t test statistics
2. Construct and interpret the 95% confidence interval to estimate the average grade difference between pre and post
(Show your steps to construct the 95% confidence interval)
Run sample and Conduct one sample t test for BMI (BMXBMI, kg/m2) in NHANES.nh1516 to whether the average BMI is equal to the historical control 25 kg/ m2
(attached your SAS ouput )
1) identify the point estimate (average BMI)
2) identify standard error
3) identify the test statistics
4) identify the p value
5) Interpret the result from t test statistics
6) Identify and interpret 95% confidence interval to estimate the average systolic blood pressure
7) State conclusion for the study
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