Question 16Which of the following statements are not true?O A statistical hypothesis is a claim about the value of a single parameter, about the values of several parameters.In any hypothesis-testing problem, there are two contradictory hypotheses under consideration.A test of hypothesis is a method for using sample data to decide whether the null hypothesis should be rejected.O A type I error consists of not rejecting the null hypothesis HO when HO is false.None of the above statements are true.

Hypothesis testing is the process of testing an assumption about the population parameter using…

Answered: Which of the following statements are…

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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Which of the following is NOT one of the steps for hypothesis testing? a. Verify data conditions and calculate a test statistic. O b. Assuming the alternative hypothesis is true, find the p-value. O c. Determine the null and alternative hypotheses. O d. Assuming the null hypothesis is true, find the p-value.
In hypothesis testing the statistical conclusion is either to reject or not to reject the null hypothesis based on the sample data. Which of the following statements is true? The conclusion will always reject a false null hypothesis. The conclusion is always subject to error because it is based on sample data. The conclusion will never reject a true null hypothesis. The conclusion is always free from error if the correct procedure is foll
PART B (b) Based on your answer to part (a), which of the following statements is true? ____ Since the p- valueis less than the significance level, the null hypothesis is rejected. _____ Since the p- valueis less than the significance level, the null hypothesis is not rejected. ____ Since the p- valueis greater than the significance level, the null hypothesis is rejected. ___ Since the p- valueis greater than the significance level, the null hypothesis is not rejected.
Food inspectors inspect samples of food products to see if they are safe. This can be thought of as a hypothesis test with the following hypotheses. H0: the food is safe Ha: the food is not safe The following is an example of what type of error? The sample suggests that the food is safe, but it actually is not safe. Choose one below a. type I b. type II c. not an error
A credit card company claims that the mean credit card debt for individuals is greater than $5,100. You want to test this claim. You find that a random sample of 32 cardholders has a mean credit card balance of $5,242 and a standard deviation of $575. At a = 0.01, can you support the claim? Complete parts (a) through (d) below. Assume the population is normally distributed. (a) Write the claim mathematically and identify Ho and H2. Which of the following correctly states H, and H,? O A. Ho: µ> $5,100 Ha: us $5,100 В. Но: и- $5,100 Hai µ > $5,100 С. Но: 3 $5,100 Ha: u# $5,100 O D. Ho: µ2 $5,100 Ha:u $5,100 Ha: us $5,100 Ο F H0: μS $5,1 00 Ha: µ > $5,100 (b) Find the critical value and identify the rejection region. What is the critical value, to? to = 0 (Use a comma to separate answers as needed. Round to three decimal places as needed.) Determine the rejection region. Select the correct choice below and fill in the ansswer box within your choice. (Round to three decimal places as…
A null and alternative hypothesis are given. Determine whether the hypothesis test is left-tailed, right-tailed, or two-tailed. Họ: o 2 2.8 Ha: o < 2.8 What type of test is being conducted in this problem? O A. Two-tailed test B. Left-tailed test OC. Right-tailed test
In an hypothesis test the decision was made to reject the null hypothesis. The null hypothesis was later determined to be true. What kind of error, if any, was committed? Type I error Type II error No error
Which one of the following statements is incorrect: A. A type I error consists of rejecting the null hypothesis when it is true B. A type II error consists of accepting the null hypothesis when it is false C. You can control simultaneously both the Type I and Type II error probabilities when the sample size is fixed D. Hypothesis testing and confidence intervals are related concepts
Food inspectors inspect samples of food products to see if they are safe. This can be thought of as a hypothesis test with the following hypotheses. H0: the food is safe Ha: the food is not safe The following is an example of what type of error? The sample suggests that the food is safe, but it actually is not safe. type I type II not an error
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.
which of the following statements are true about ALTERNATE hypotheses? Please select all that apply. They posit that any relationship we observe between two variables is true in the population but not necessarily in samples from that population. They posit that there is a relationship between two variables in the population. They posit that any relationship we observe between two variables is the result of random chance They posit that any relationship we observe between two variables is not the result of random chance They posit that there is no relationship between two variables in the population. which of the following statements about p values are correct? Please select all that apply. They imply larger effect sizes They prove that the alternate hypothesis is true They correspond to the probability that we would observe a relationship between two variables in our sample, if there was no true relationship between them in the population They prove that the null hypothesis is true…
which is true?

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