When the null hypothesis is not rejected in the Test for Independence, it means that the variables are not related. TRUE or FALSE
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When the null hypothesis is not rejected in the Test for Independence, it means that the variables are not related.
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- compute for the z or t value and decide whether to retain or reject the null hypothesis. provide an explanation for the decisionDecide whether to reject or fail to reject the null hypothesis.Identify the variable in this test and what type of variable is it (nominal, ordinal or continuous). Then state the null and alternative hypothesis.
- If you make an error of rejecting the null hypothesis when it is true, this type of error is Type I error. True FalseWhen is the null hypothesis not testable and how do construct the test and estimators when V is known and not known?Can the null hypothesis be a greater than or less than or is it always equals?
- No error is committed when the null hypothesis is rejected when it is false. True FalseOccurs when the null hypothesis is not rejected when in fact it is false.Conduct a test of the null hypothesis for both independent variable and interpret your finding. You do not have to calculate anything by hand here; use excel output.