1) The F-test requires an assumption of equal variances within the samples being tested.( true or false)

2) The alternate hypothesis claims that no difference exists between the populations being tested using random sample results from each.( true or false)

3) The hypothesis testing procedure tests for the accuracy of the alternate hypothesis.( true or false)

4) The wording of the null hypothesis directly reflects the wording of the research question we want the statistical test to answer. (true or false)

Answer:

true

false

true

false

Step-by-step explanation

1) This is an assumption of F-test that all groups should have equal population variances and then we can do the test to determine whether there is an equality of population means or not

2) The alternate hypothesis claims that there is actually a difference existing between the populations being tested using random sample results from each

The assumption of no difference between the populations being tested is given to null hypothesis

3) In hypothesis testing, there is an assumption that there is no difference in the parameter between the two populations

So, the hypothesis testing procedure tests for the accuracy of the alternate hypothesis and if it's proven to be true , the null hypothesis is rejected automatically

4) The wording of the research question that needs to be answered statistically forms the basis for the formation of alternate hypothesis and not null hypothesis.