2a) Suppose you conducted a hypothesis test anddid not reject the null hypothesis. In this case, is itpossible for you to make a type I error? And is itpossible for youto make a type II error? Why?2b) Suppose we know that in the real world, thenull hypothesis is in fact true.In this case, is it possible for you to make a type Ierror? And is it possible for you tomake a type II error? Why?2c)An experimenter used a " .05 for a hypothesistest and retained the nullhypothesis. Would it be correct to say that theexperimenter can be 95% sure that HOis true? Explain.

Given that Suppose you conducted a hypothesis test and did not reject the null hypothesis. In this…

Answered: 2a) Suppose you conducted a hypothesis…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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In a certain test of hypothesis, the null hypothesis was NOT rejected. Which of the following is a proper conclusion? O There is insufficient evidence to support that the alternative hypothesis is true. O The alternative hypothesis is true. O The null hypothesis is true. There is insufficient evidence to support that the null hypothesis is false
Assume you are conducting a hypothesis test to determine if pesticides cause cancer in rural areas. The hypotheses are: The null hypothesis is no cancer. The alternate hypothesis is cancer. Select if the result for Box C is correct, a Type I error, a Type II error or if there is insufficient information to make the decision.
Suppose you wish to find Kby the other cola, and then asked to disclose which drink they prefer. Results of your taste test indicate that 44 of 100 individuals prefer Cola 2. Complete parts a through c out the answer to the age-old question, "Do people prefer Cola 1 or Cola 2?" You conduct a blind taste test in which individuals are randomly asked to drink one of the colas first, followe (a) Conduct a hypothesis test (preferably using technology) Ho: p=Po versus H₁: ppo for p = 0.33, 0.34, 0.35 0.53, 0.54, 0.55 at the a= 0.05 level of significance. For which values of Po do you not reject the null hypothesis? What do each of the values of po represent? Do not reject the null hypothesis for the values of po between and inclusively (Type integers or decimals. Do not round.) (b) Construct a 95% confidence interval for the proportion of individuals who prefer Cola 2 We are 95% confident the proportion of individuals who prefer Cola 2 is between and (Type integers or decimals rounded to…
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 false
Can the null hypothesis be a greater than or less than or is it always equals?
When conducting a hypothesis test, we hope to avoid commiting a type 1 error, which is: 1. Not as bad as committing a type 2 error 2. rejecting a null hypothesis when it is true 3. rejecting the alternate hypothesis when it is true 4. accepting the null hypothesis when the alternate hypothesis is true
Express the null hypothesis H and the alternative hypothesis Hin notation form in the following scenarios: The percentage of women who watches sports on TV is nor 40% as claimed by a researcher.
Develop the analysis of variance computations for the following completely randomized design. At a = 0.05, is there a significant difference between the treatment means? 2 A 135 119 114 106 132 115 129 94 118 Treatment B 107 114 124 104 108 110 96 113 103 81 106 с 91 83 86 101 89 116 109 119 98 98 99 193.14 132.89 153.78
(d) Decide whether to reject or fail to reject the null hypothesis. O A. Fail to reject H, because the test statistic is in the rejection region(s). O B. Reject H, because the test statistic is not in the rejection region(s). O C. Fail to reject Ho because the test statistic is not in the rejection region(s). D. Reject Ho because the test statistic is in the rejection region(s). (e) Interpret the decision in the context of the original claim. A. At the 5% level of significance, there is sufficient evidence to reject the claim that the mean price is $24,000. B. At the 5% level of significance, there is not sufficient evidence to reject the claim that the mean price is $24,000. C. At the 5% level of significance, there is sufficient evidence to reject the claim that the mean price is not $24,000. O D. At the 5% level of significance, there is not sufficient evidence to reject the claim that the mean price is not $24,000.
When a hypothesis test is being carried out, there are four different situations that can occur depending on the truthfulness of the null hypothesis. Type I error occurs when the following situation happen The null hypothesis is false, but we mistakenly fail to reject it. The null hypothesis is true, but we mistakenly reject it. The null hypothesis is false, and we reject it. The null hypothesis is true, and we fail to reject it.
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? 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.
When the null hypothesis is not rejected, it is O possible a Type I error has occurred. not possible a Type II error has occurred. possible a Type II error has occurred. O possible either a Type I or a Type II error has occurred.

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