Per Step 5 of the 5-Steps to Hypothesis Testing, choose the appropriate
Per Step 5 of the 5-Steps to Hypothesis Testing, choose the appropriate
formal and informal conclusions. Please note the following: 1) 0 and 1 are defined as no and yes, respectively, which is a typical coding scheme in Public Health; 2) you may copy and paste the data into Excel to facilitate analysis; and 3) in the prior question you already calculated a test statistic but on a different dataset – calculate the test statistic again using the dataset directly above in selecting the corresponding formal and informal conclusions. Select one: MACROBUTTON HTMLDirect a. We reject H1 because z ≤ -2.326, where z = 0.913. We do not have statistically significant evidence at α = 10% to show that the true population proportion of heart and core temperature increases amidst higher ambient temperature and humidity levels is greater than 21.6%. MACROBUTTON HTMLDirect b. We do not reject H1 because z ≤ +1.645, where z = 0.913. We have statistically significant evidence at α = 5% to show that the true population proportion of heart and core temperature increases amidst higher ambient temperature and humidity levels is greater than 21.6%. MACROBUTTON HTMLDirect c. We do not accept H1 because z ≥ -1.960, where z = 0.913. We do not have statistically significant evidence at α = 10% to show that the true population proportion of heart and core temperature increases amidst higher ambient temperature and humidity levels is greater than 21.6%. MACROBUTTON HTMLDirect d. We do not reject H0 because z < +1.960, where z = 0.913. We do not have statistically significant evidence at α = 2.5% to show that the true population proportion of heart and core temperature increases amidst higher ambient temperature and humidity levels is greater than 21.6%.
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