What is the value of the test statistic computed by spss

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Reference no: EM132693429

Assignment: Hypothesis testing

In Module 10, you were given an expanded subset of data from the Vermont 2017 BRFSS interviews: PH303_BRFSS_dataset1.sav.
Use SPSS to complete the following:

You are still interested in the health experience of obese men (BMI ≥ 30 kg/m2). In particular, you want to know if smoking status (yes/no) is independent of age.

1) Create a filter to select only men with BMI ≥ 30 kg/m2.

2) Create a new variable for age categories, using: ≤30 years, 31-50 years, 51-70 years, 71+ years. Be sure to label your categories.
What is the distribution of these age categories among obese men? Paste the frequency table.

3) Test the following hypothesis using SPSS. Use a 5% level of significance.

H0 : Age category and smoking status (yes/no) are independent H1 : H0 is false

a) What is the name of the appropriate test statistic for this hypothesis test?
b) What is/are the degrees of freedom? What is the critical value that will be used for the decision rule? (You will need to look this up in your textbook)
c) Run the hypothesis test in SPSS. Paste the table showing the results of the test. Use the variable SMOKERYN for smoking status (yes/no).
d) What is the value of the test statistic computed by SPSS?
e) Do you have evidence to reject the null hypothesis? How do you know? Explain in full sentences.
f) If you have not already done so, create a cross-tabulation of age category and smoking status (yes/no) that includes column percentages. Compare the column percentages between Not Current Smokers and Current Smokers. What might these suggest about mortality among obese men who smoke?

You are concerned that the age categories that you used above are too broad. Plus, you also want to explore different categories of smoking, such as former smokers. Using age as a continuous variable and the variable SMOKERCAT for smoking status, test whether there is a difference in mean age between categories of smoker status. Use a 5% level of significance.
H0 : µ1 = µ2 = µ3 = µ4
H1 : Not all means are equal

a) What is the name of the appropriate test statistic for this hypothesis test?

b) What is/are the degrees of freedom? What is the critical value that will be used for the decision rule? (You will need to look this up in your textbook)
c) Fill in the following table of descriptive statistics:

d) Run the hypothesis test in SPSS using the appropriate process. Paste the table the results of the test.

e) What is the value of the test statistic computed by SPSS?

f) Do you have evidence to reject the null hypothesis? How do you know? Explain in full sentences.

Attachment:- SPSS Week.rar

Reference no: EM132693429

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