What does it mean when the null hypothesis is rejected? a. The null hypothesis is incorrect. b. The alternative hypothesis is correct. c. There is a sufficient evidence to support the null hypothesis. d. There is an insufficient evidence to disprove the null hypothesis.
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What does it mean when the null hypothesis is rejected?
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- The following problem submitted by Daniel Hahn of Blairstown, Iowa, appeared in the Ask Marilyn column of Parade magazine. Source: Parade magazine. You discover two booths at a carnival. Each is tended by an honest man with a pair of covered coin shakers. In each shaker is a single coin, and you are allowed to bet upon the chance that both coins in that booths shakers are heads after the man in the booth shakes them, does an inspection, and can tell you that at least one of the shakers contains a head. The difference is that the man in the first booth always looks inside both of his shakers, whereas the man in the second booth looks inside only one of the shakers. Where will you stand the best chance?What is a type I error? What is a type II error? Choose the correct answer below. C.. O A. A type I error is the mistake of failing to reject the null hypothesis when the null hypothesis is actually true. A type Il error is the mistake of rejecting the null hypothesis when the null hypothesis is actually false. O B. A type I error is the mistake of rejecting the null hypothesis when the null hypothesis is actually false. A type II error is the mistake of failing to reject the null hypothesis when the null hypothesis is actually true. OC. A type I error is the mistake of rejecting the null hypothesis when the null hypothesis is actually true. A type II error is the mistake of failing to reject the null hypothesis when the null hypothesis is actually false. O D. A type I error is the mistake of failing to reject the null hypothesis when the null hypothesis is actually false. A type II error is the mistake of rejecting the null hypothesis when the null hypothesis is actually true.A researcher claims that 45% of students drop out of college. He conducts a hypothesis test and fails to reject the null hypothesis. What type of error could have been committed here? A. Type I B. There are never errors in hypothesis testing C. Power of the test D. Type II
- 3. According to an NDP Group report, the mean number of meals prepared and eaten at home is 700 per year. Suppose that a random sample of 36 households showed a sample mean number of meals prepared and eaten at home was 690. Assume o = 40. Test whether the population mean number of such meals is less than 700 using a significance level of 0.01.What is a type I and a type II error? Select one: A. A type I error is the mistake of rejecting the null hypothesis when the null hypothesis is actually true. A type II error is the mistake of failing to reject the null hypothesis when the null hypothesis is actually false. B. A type I error is the mistake of failing to reject the null hypothesis when the null hypothesis is actually false. A type II error is the mistake of rejecting the null hypothesis when the null hypothesis is actually true. C. A type I error is the mistake of rejecting the null hypothesis when the null hypothesis is actually false. A type II error is the mistake of failing to reject the null hypothesis when the null hypothesis is actually true. D. A type I error is the mistake of failing to reject the null hypothesis when the null hypothesis is actually true. A type II error is the mistake of rejecting the null hypothesis when the null hypothesis is actually falseWhat type of error(s) occur(s) when we reject the null hypothesis when the null hypothesis is true? OA. Type 1 Error OB. Type II Error OC. Both Type I and Type II Errors OD. Neither Type I nor Type II Error
- Which of the following statements is not true about hypothesis tests? A. Hypothesis tests are only valid when the sample is representative of the population for the variable of interest. B. Hypotheses are statements about the population represented by the samples. C. Hypotheses are statements about the sample/s from the population/s. D. Conclusions are statements about the population/ represented by the sample/s.A type II error A. arises when the false null hypothesis is not rejected.B. arises when the true null hypothesis is not rejected.C. is the rejection of a true null hypothesis.D. is the rejection of a false null hypothesis.A type I error O A. arises when the false null hypothesis is not rejected. O B. is the rejection of a true null hypothesis. O C. arises when the true null hypothesis is not rejected. D. is the rejection of a false null hypothesis.
- Which of the following statements is most appropriate for describing the Null Hypothesis? a The experimental treatment does not affect the outcome of the experiment. b The experimental treatment does affect the outcome. c The Null Hypothesis is the research hypothesis. d None of the above statements are correct Which of the following statements is most appropriate for describing the Alternate Hypothesis? a The experimental treatment does not affect the outcome of the experiment. b The experimental treatment does affect the outcome of the experiment. c Alternate Hypothesis is not the same as the research hypothesis? d None of the above statements are correctif 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 errorYou accept the alternative hypothesis when you reject the null hypothesis. justify the above statement?
