Explain why a level of significance of α = 0 is not used.Why is a level of significance of α = 0 not used?A. If x = 0, the alternative hypothesis cannot be rejected, making the hypothesis test useless.B. If α = 0, the alternative hypothesis is always rejected, making the hypothesis test useless.C. If α = 0, the null hypothesis cannot be rejected, making the hypothesis test useless.D. If x=0, the null hypothesis is always rejected, making the hypothesis test useless.

It is given that the level of significance α = 0.

Answered: Explain why a level of significance of…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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The FDA regulates that fish that is consumed is allowed to contain 1 mg/kg of mercury. In Alaska, bass fish were collected in 36 different lakes to measure the amount of mercury in the fish. Do the data provide enough evidence to show that the fish in Alaska lakes has more mercury than the allowable amount? Below, set up the Null Hypothesis Ho and the Alternative Hypothesis HA. Ho: H (? HẠ: H (?
A type I error A. arises when the false null hypothesis is not rejected. OB. is the rejection of a true null hypothesis. C. arises when the true null hypothesis is not rejected. O D. is the rejection of a false null hypothesis.
A physician wants to determine if a supplement is effective in helping men lose weight. She takes a random sample of overweight men and records their weight before the trial. She then prescribes the supplement and instructs them to take it for four weeks while making no other lifestyle changes. After the four-week period, she records the weight of the men again. Identify the null and alternative hypotheses for a hypothesis test where d = weight after trial-weight before trial. Select the correct answer below:
1. How do I Distinguish p-value from alpha. 2. In hypothesis testing using the t-test, provide the formula for generating the test statistic and provide the name for each variable in the formula.
Suppose the null hypothesis, H0, is: a weightlifting bar can withstand weights of 800 pounds and less. And the alternative hypothesis, Ha, is: a weightlifting bar can withstand weights of more than 800 pounds.What is the Type I error in this scenario? Select the correct answer below: You say there is insufficient evidence to conclude that the weightlifting bar can withstand weights of more than 800 pounds when, in fact, it can not. You say there is insufficient evidence to conclude that the weightlifting bar can withstand weights of more than 800 pounds when, in fact, it can. You say there is sufficient evidence to conclude that the weightlifting bar can withstand weights of more than 800 pounds when, in fact, it can not. You say there is sufficient evidence to conclude that the weightlifting bar can withstand weights of more than 800 pounds when, in fact, it can.
The P-value for a hypothesis test is 0.06. For each of the fol-lowing significance levels, decide whether the null hypothesis should be rejected. a. α = 0.05b. α = 0.10 c. α = 0.06
Observations from The null hypothesis is Ho: H1 = H, and the alternative hypothesis is as specified. The provided data are from a simple random paired sample from the two populations under consideration. Use the paired t-test to perform the required hypothesis test at the 10% significance level. Pair Population 1 Population 2 24 20 Hai Hy> H2 2 9 10 20 19 E Click the icon to view the t-table. 4. 13 8 5 8 14 14 7 10 15 8 22 28 Find the test statistic. Use population 1- population 2 as the difference. t=| (Round to three decimal places as needed.)
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.
Which is not a step in hypothesis testing? A. Determine or establish alpha B. Determine or establish beta C. Calulate or look up the critical value(s) D. Calculate the test statistic E. All of the above F. None of the above
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.
Match each of the hypothesis test conclusions below to the corresponding p-value. There is not enough evidence to reject the null hypothesis at any reasonable significance level. The evidence against the null and in favor of the alternative hypothesis is extremely strong. The evidence against the null hypothesis is statistically significant at the 10% level, but not at the 5% level. The result is statistically significant at the 5% level but not at the 1% level. I. p-value = .0003 II. p-value = .317 III. p-value = .089 IV. p-value = .039
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