EBK BIOSTATISTICS FOR THE BIOLOGICAL AN
2nd Edition
ISBN: 9780134679228
Author: ROY
Publisher: PEARSON CUSTOM PUB.(CONSIGNMENT)
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Chapter 8, Problem 6CQQ
To determine
To explain: Whether the provided statement is true or false.
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The goal of research is to prove that the null hypothesis is true. True False
If you make an error of rejecting the null hypothesis when it is true, this type of error is Type I error.
True
False
Conclusions True or false: The conclusion of “fail to reject the null hypothesis” has exactly the same meaning as “accept the null hypothesis.”
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EBK BIOSTATISTICS FOR THE BIOLOGICAL AN
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Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.Similar questions
- 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?arrow_forwardNo error is committed when the null hypothesis is rejected when it is false. True Falsearrow_forwardIf 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. No, it suggests that the evidence is not sufficient to merit rejecting the null hypothesis. Yes, if we fail to reject the null we have found evidence that the null is true beyond all doubt. Yes, it suggests that the evidence is sufficient to merit rejecting the alternative hypothesis beyond all doubt. No, it suggests that the null hypothesis is true only some of the time.arrow_forward
- 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.arrow_forwardYou accept the alternative hypothesis when you reject the null hypothesis. justify the above statement?arrow_forward3. 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.arrow_forward
- when do we reject the null hypothesis?arrow_forwardif 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 errorarrow_forwardConclusions True or false: In hypothesis testing, it is never valid to form a conclusion of supporting the null hypothesis.arrow_forward
- Provide an appropriate response. If we fail to reject the null hypothesis when the null hypothesis is false, then we have made a Type B error Type I error Correct decision Type II errorarrow_forwardType-II error is? A. Rejecting the null hypothesis when it is actually true B. Not rejecting the null hypothesis when its actually false C. Accepting the null hypothesis when its actually false D. Rejecting the alternative hypothesis it is actually falsearrow_forwardIf the conclusion in a hypothesis test is to fail to reject H0H0, we can conclude that there is strong evidence that the null hypothesis is true.arrow_forward
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