1st statement: Alpha error happens when you incorrectly reject the null hypothesis 2nd statement: Alpha error happens when you erroneously receive a negative result and do not reject the null hypothesis. 1st statement is true, while the 2nd statement is false O Both statements are false Both statements are true O 1st statement is false, while the 2nd statement is true Activate Windows
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- Students who arrive to class early do just as well on the homework as those who arrive to class late. Alternative hypothesis Null hypothesisAlternative hypothesis is everything except Represents a theory that has been put forward Frequently “alternative” is actual desired conclusion of the researcher Only considered if H0 is rejected. Opposite of Null Hypothesis.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
- If a hypothesis test is performed and the null hypothesis is rejected in favor of the alternative hypothesis, does the test prove that the alternative hypothesis is correct? Choose the correct answer below. A.The test does not prove the alternative hypothesis correct, because only one test was done, and it takes at least hypothesis tests to prove a claim about a population parameter. B.The test does not prove the alternative hypothesis correct, because of the possibility of rejecting the null hypothesis when the null hypothesis is true. C.The test proves the alternative hypothesis correct, because once the null hypothesis is rejected, the only possibility that remains is for the alternative hypothesis to be true. D.The test proves the alternative hypothesis correct, because it shows that all the evidence suggests that the alternative hypothesis is true.Type 1 error is committed whenever we accept null hypothesis well in fact it is false. True or False?If we fail to reject (i.e., "accept") the null hypothesis, does this mean that we have proved it to be true beyond all doubt? Explain your answer. a) Yes, it suggests that the evidence is sufficient to merit rejecting the alternative hypothesis beyond all doubt. b) No, it suggests that the evidence is not sufficient to merit rejecting the null hypothesis. c) No, it suggests that the null hypothesis is true only some of the time. d) d) Yes, if we fail to reject the null we have found evidence that the null is true beyond all doubt.
- 1.) Conclusion fail to reject the null hypothesis and do not support the claim reject the null hypothesis and support the claimIf we fail to reject (i.e., "accept") the null hypothesis, does this mean that we have proved it to be true beyond all doubt? Choose one of the options: A. No, it suggests that the evidence is not sufficient to merit rejecting the null hypothesis. B. No, it suggests that the null hypothesis is true only some of the time. C. Yes, if we fail to reject the null we have found evidence that the null is true beyond all doubt. D. Yes, it suggests that the evidence is sufficient to merit rejecting the alternative hypothesis beyond all doubt.the null and alternative hypothesis
- Identify the null and alternative hypothesis(in symbolic and sentence form), test statistic, P-value(or critical values), conclusion about the null hypothesis, and final conclusion that addresses the original claim(Don’t just say Reject the null hypothesis or fail to reject the null hypothesis). If you used the calculator, identify everything mentioned above in addition to which calculator functions and inputs for each field were used. 3. A newly released weight-loss pill is being sold in a certain city. The manufacturer claims that any overweight person who takes the pill as directed will lose 15 lbs within a month. To test this claim, a doctor gives this pill to six overweight people and finds that they lose an average of 12.9 lbs with a standard deviation of 4 lbs. Can we reject the manufactures claim at the 1% level of significance?Decide if the following statement are true or false. If the statement is false, please correct it. There are only two possible conclusions for a hypothesis test. Reject H1 or Fail to Reject H1.Which is the correct null hypothesis based on this statement: People with diabetes have higher systolic blood pressure than people without diabetes? People with diabetes have lower systolic blood pressure than people without diabetes. People with diabetes have equal systolic blood pressure when compared to people without diabetes. People with diabetes have a systolic blood pressure equal to or lower than people without diabetes. None of these are a null hypothesis.