A type I errorO 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.

We have to find the cause of occurring of type 1 error which occurs during the hypothesis testing…

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. C. arises when the true null hypothesis is not rejected. 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. C. arises when the true null hypothesis is not rejected. D. is the rejection of a false null hypothesis.

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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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
I. Do the following: a. State the null and alternative hypotheses, identify which represents the claim, b. Determine when a type I or type Il error occurs for a hypothesis test of the claim. c. Determine whether the hypothesis test is left-tailed, right-tailed, or two-tailed. Explain your reasoning. d. Explain how you should interpret a decision that rejects the null hypothesis. e. Explain how you should interpret a decision that fails to reject the null hypothesis. Problem An agricultural cooperative guarantees that the mean shelf life of a certain type of dried fruit is at least 400 days.
A Type I error is defined as a. rejecting a null hypothesis when it is in fact true b. rejecting a false null hypothesis c. failing to reject a true null hypothesis d. failing to reject a false null hypothesis
I. Do the following:a. State the null and alternative hypotheses, identify which represents the claim,b. Determine when a type I or type II error occurs for a hypothesis test of the claim.c. Determine whether the hypothesis test is left-tailed, right-tailed, or two-tailed. Explain your reasoning.d. Explain how you should interpret a decision that rejects the null hypothesis.e. Explain how you should interpret a decision that fails to reject the null hypothesis.ProblemAn agricultural cooperative guarantees that the mean shelf life of a certain type of dried fruit is at least 400 days.II. Conduct a hypothesis testA research center claims that less than 50% of senior high school students in public schools in the Philippines have accessed the Internet using cellular phones. In a random sample of 100 SHS students, 39% say they have accessed the Internet using cellular phones. At = 0.01, is there enough evidence to support the researcher’s claim?
What are the null hypothesis (H) and the alternative hypothesis (H,) that should be used fo test? HoiH is ? H:p is ? v ? v v ? へへ In the context of this test, what is a Type I error? A Type I error is ? v the hypothesis that u is ? v ? v. v ? v when, in fact, u is ? Suppose that the consultant decides to reject the null hypothesis. What sort of error might she be making? ?
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.
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.
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.
When a new drug is created, the drug company must test it before receiving the necessary permission from the Food and Drug Administration (FDA) to market the drug. Suppose the null hypothesis is "the drug it's not safe." What is a type II error? explain clearly a. Concluding that the drug is safe when, in fact, it is not. b. Not concluding that the drug is safe when, in fact, it is. c. Concluding that the drug is safe when, in fact, it is. d. Not concluding that the drug is not safe when, in fact, it is not.
When is a researcher at risk of making a Type II error? a. whenever H0 is rejected b. whenever H1 is rejected c. whenever H0 fails to be rejected d. The risk of a Type II error is independent of the decision from a hypothesis test.
A scientist has read that the mean birth weight, u, of babies born at full term is 7.5 pounds. The scientist, believing that u is different from this value, plans to perform a statistical test. She selects a random sample of birth weights of babies born at full term and finds the mean of the sample to be 7.9 pounds and the standard deviation to be 1.6 pounds. Based on this information, answer the questions below.
Which statement describes a Type II Error? Fail to reject the null hypothesis H0, when H0 is actually true Reject the null hypothesis H0, when H0 is actually true Fail to reject the null hypothesis H0, when H0H0 is false Reject the null hypothesis H0, when H0 is actually false