I have completed the first parts A & B but I am not sure how to interpet and ans

Question

I have completed the first parts A & B but I am not sure how to interpet and answer part C. The basic data is there but the question is not answered. Please help. Thanks.

C) Upon hearing of these data, some scientists called the study “inconclusive” because the numbers of users of appetite suppressants containing phenylpropanolamine (7 total: 6 in one group and 1 in the other) are so small. What is your response to these scientists?

C-4 cdums Caue 4 leath [25 Patients w/coronary artery disease randomly assigned Unknown to either receive angioplasty plus medical therapy Cardiac death Other death cause of death Alive Total r= (n = 1149) or medical therapy alone (n = 1138). Over several Angioplasty 1 1061 1.19 1.064 1.149 years 85 angioplasty and 95 medical therapy patients died, Qrous with cause of death categorized as cardiac, other, or unknown Medical therapy 1.043 1.138 Table shows a cross classification of the data. Is there Total 96 % 2107 2287 statistically significant evidence, at the 0.10 level, to conclude o association, that there is an association between treatment group (angioplasty versus medical therapy) and outcome? • betaapaby Ofcomes (a) State the null and alternative hypotheses in context. /HA': There is not an associaton (6) How many degrees of freedom are there for a chi-square test?between anglo plasty and (c) The P-value for the chi-square test is 0.87. If a = 0.10, what is your conclusion regarding H, medical, Otcomes 6 af for X est - CF-1)CE-13 " |df= (a-1)(4-1) = 3 af - 3 © p-value for X* test = 0.87 (-0.10

Explanation / Answer

a) The given null and alternate hypothesis for the chi square test are not correctly given and they should be reversed. The correct and null hypothesis are given here as:

H0: The 2 variables are independent and thus there is no relation between them

Ha: The 2 variables are associated with each other.

c) The p-value here for the test is 0.87 < 0.1 which is the level of significance, therefore the test is not significant and we cannot reject the null hypothesis here. Therefore we dont have sufficient evidence here to conclude that the two variables are associated. Therefore Do not Reject null hypothesis H0 here.

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