Question: Test the hypothesis that people with different marital statuses differ in mean systolic blood pressure, using a significance level of 0.05. Refer to the StatCrunch

Test the hypothesis that people with different marital statuses differ in mean systolic blood pressure, using a significance level of 0.05. Refer to the StatCrunch output from NHANES data.
a. Write the null and alternative hypotheses for the association between marital status and blood pressure.
b. Identify the F-value from the output.
c. Which group had the largest sample mean and which had the smallest?
d. Assuming that you did find an association between marital status and systolic blood pressure, would this association show that marital status caused different systolic blood pressures? Can you think of a confounding factor?

Analysis of varlance results: Responses in Systolic Factors in Marital Factor means n Mean Std. dev Std. Error 73 128.9726 23.565495 2.7581326 Divorced Lving with partner 63 115.36508 15.664117 1.9734933 Married Never mariled Separated 20121.45 17.5003013.9131362 SO3 | 1 24.842941 18,998249/ 0,84709004 191 116.94764 15.961051 1.1549011 82 146. 13415 26.261159( 2.9000598 widowed ANOVA table MS tatva Source SS Treatments 5 56195 526 11239.105 30.038499 40,0001 Error Total 926 346469.09 374.15669 931 402664.62

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