if we do not reject the null hypothesis when the null hypothesis is in error, then we have made a   a.Type β error b.Correct decision c.Type I error d.Type II error

A Type I error is defined as   a. rejecting a null hypothesis when it is in fact true   b. rejecting a false null hypothesis   c. failing to reject a true null hypothesis   d. failing to reject a false null hypothesis

For the following null and alternative hypothesis describe the scenario of an instructor making a Type I Error Ho: A student is not cheating on an Exam H1: A student is cheating on an Exam

If we reject the Null Hypothesis then     the Test Statistic is outside the Critical Region and the Test Statistic is not significant     the Test Statistic is inside the Critical Region and is the Test Statistic is significant     the Test Statistic is inside the Critical Region and is the Test Statistic is not significant     the Test Statistic is outside the Critical Region and is the Test Statistic is significant

A study done on a marriage counseling course showed that the proportion of couples for which the communication program can prevent divorce is 79%. Suppose we have strong reason to believe the proportion is less than 79%, and we carry out a hypothesis test. State the null hypothesis H0 and the alternative hypothesis H1 that we would use for this test. 1. Ho:  2. H1:

When the independent variable has more than two levels, a researcher cannot just run multiple t tests, because as more statistical tests are run:   Question 3 options:   it becomes increasingly more difficult to reject the null hypothesis.   the probability of making a Type I error in one of the tests increases.   degrees of freedom are lost.   the probability of making a Type III error in one of the tests increases.

Rejecting the null hypothesis when it is true is called a _____ error

The following table contains the number of successes and failures for three categories of a variable. Test whether the proportions are equal for each category at the α=0.1 level of significance.     Category 1 Category 2 Category 3   Failures 32 51 57 Successes 39 54 73 State the hypotheses. Choose the correct answer below.     A. H0​: The categories of the variable and success and failure are independent. H1​: The categories of the variable and success and failure are dependent.   B. H0​: The categories of the variable and success and failure are dependent. H1​: The categories of the variable and success and failure are independent.   C. H0​: p1=p2=p3 H1​: At least one of the proportions is different from the others.   D. H0​: μ1=E1 and μ2=E2 and μ3=E3 H1​: At least one mean is different from what is expected. What is the​ P-value?   nothing ​(Round to three decimal places as​ needed.) What conclusion can be​…

Express the null hypothesis and the alternative hypothesis in symbolic form. Use the correctsymbol (µ, p, Η) for the indicated parameter. An entomologist writes an article in a scientific journalwhich claims that fewer than 16 in ten thousand male fireflies are unable to produce light due to agenetic mutation. Use the parameter p, the true proportion of fireflies unable to produce light.

A type Il error A. is the rejection of a true null hypothesis. OB. arises when the false null hypothesis is not rejected. OC. arises when the true null hypothesis is not rejected. OD. is the rejection of a false null hypothesis.