which of the following statements are correct?

In hypothesis process, you should
a)define the statistical hypothesis
b)determine the region of acceptance
c)calculate the test statistic
d) compare the test statistic
e)all the above

I would say A, though that's because I was taught an 8-part procedure for hypothesis testing, and B - D are their own separate steps. It does make sense that you'd define your hypotheses in the hypothesis step, though, and you really shouldn't be calculating the test statistic in the hypothesis step, ruling out all of the above.

To determine which of the statements are correct in the hypothesis process, let's go through each option and explain them:

a) Define the statistical hypothesis: This is a correct statement. In hypothesis testing, you start by setting up the null hypothesis (H0) and the alternative hypothesis (Ha), which represent the statements or claims being tested.

b) Determine the region of acceptance: This statement is incorrect. In hypothesis testing, you determine the critical region(s) instead of the region of acceptance. The critical region is the range of values that, if the test statistic falls within them, leads to rejecting the null hypothesis.

c) Calculate the test statistic: This is a correct statement. After defining the statistical hypothesis, you perform statistical calculations to obtain the test statistic that will be used to make a decision about the null hypothesis.

d) Compare the test statistic: This is a correct statement. Once you have the test statistic, you compare it to the critical value(s) from the appropriate statistical distribution. This comparison guides your decision to either reject or fail to reject the null hypothesis.

e) All the above: This statement is incorrect as option (b) is incorrect. Therefore, not all the statements are correct.

In conclusion, the correct statements are a), c), and d).