State the conclusion for the test. O A. Fail to reject the null hypothesis. There is not sufficient evidence to warrant rejection of the claim that men and women have the same mean BMI. O B. Fail to reject the null hypothesis. There is sufficient evidence to warrant rejection of the claim that men and women have the same mean BMI. O C. Reject the null hypothesis. There is sufficient evidence to warrant rejection of the claim that men and women have the same mean BMI. O D. Reject the null hypothesis. There is not sufficient evidence to warrant rejection of the claim that men and women have the same mean BMI. b. Construct a confidence interval suitable for testing the claim that males and females have the same mean BMI.

State the conclusion for the test. O A. Fail to reject the null hypothesis. There is not sufficient evidence to warrant rejection of the claim that men and women have the same mean BMI. O B. Fail to reject the null hypothesis. There is sufficient evidence to warrant rejection of the claim that men and women have the same mean BMI. O C. Reject the null hypothesis. There is sufficient evidence to warrant rejection of the claim that men and women have the same mean BMI. O D. Reject the null hypothesis. There is not sufficient evidence to warrant rejection of the claim that men and women have the same mean BMI. b. Construct a confidence interval suitable for testing the claim that males and females have the same mean BMI.

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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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A newsletter publisher believes that over 63% of their readers owns a Rolls-Royce. For marketing purposes of potential advertiser wants to confirm this claim. After performing a test at the 0.10 level of significance, the advertiser decides to reject the null hypothesis. What is the conclusion regarding the publishers claim? A or B? A. There is sufficient evidence at the 0.10 level of significance that the percentage is over 63%. B. There is not sufficient evidence at the 0.10 level of significance to say that the percentage is over 63%
If the level of significance for a test for independency was 5% and the p-value was 0.03, what would the conclusion be: a. Fail to reject the null hypothesis b. Reject the null hypothesis and accept the alternate hypothesis
When one changes the significance level of a hypothesis test from 0.10 to 0.05, which of the following will happen? Check all that apply. A. It becomes easier to prove that the null hypothesis is true. B. The test becomes less stringent to reject the null hypothesis (i.e. it becomes easier to reject the null hypothesis) C. The test becomes more stringent to reject the null hypothesis (i.e., it becomes harder to reject the null hypothesis) D. It becomes harder to prove that the null hypothesis is true. E. The chance that the null hypothesis is true changes from 0.10 to 0.05. UF. The chance of committing a Type I error changes from 0.10 to 0.05. G. The chance of committing a Type Il error changes from 0.10 to 0.05.
Suppose that for a particular hypothesis test, the consequences of a Type I error are very serious. Would you want to carry out the test using a small significance level a (such as 0.01) or a larger significance level (such as 0.10)? Explain the reason for your choice. The probability of a Type I error is equal to the significance level, so a larger significance level should be used. O The probability of a Type I error is equal to one minus the significance level, so a larger significance level should be used. The probability of a Type I error is equal to one minus the significance level, so a small significance level should be used. The probability of a Type I error is equal to the significance level, so a small significance level should be used.
A teacher is comparing the mean study time of his freshmen and senior students. He believes that his senior students spend more time studying per week than his freshmen students and decides to perform a hypothesis test on this belief. a. suppose the decision of the hypothesis test is to reject the null hypothesis. If, in reality, freshmen study for a mean of 10 hours per wekk and seniors study for a mena of 15 hours per week, was an arror made? If so, what type? b. Suppose the decision of the hypothesis test is to fail to reject the null hypothesis. If, in reality, freshmen study for a mean of 15 hours per week and seniors study for a mean of 15 hours per week, was an error made? if so, what type?
Q4. Which of these statements are correct for a hypothesis test: I. The Significance Level is the Pr(Rejecting a correct Null). II. Falsely Not Rejecting the Null is a Type II error. Pr(Тype II error) %3D1- Pr(Туpe I error). III. A. I. & II. B. II. & III. C. I., II. & III. D. All incorrect. O A. A В. В С. С O D. D
Suppose your marketing department feels like 36% of customers prefer a certain feature for a product.But you suspect that it is much less than this.To test your hypothesis you send surveys to a group of customers. You get 360 responses and of those only 30% say they prefer the feature.Suppose you want to test your hypothesis with a level of significance of .01 (1%). What is your conclusion? a) What is the null hypothesis? b) What is the alternative hypothesis? c) What is the claimed population proportion? d) What is the sample proportion (called the test statistic) e) What is the std deviation f) What is the z-value of the test statistic? g) What is the p-value h) compare your p-value to the level of significance i) What is the conclusion in words
6
A study was done using a treatment group and a placebo group. The results are shown in the table. Assume that the two samples are independent simple random samples selected from normally distributed populations, and do not assume that the population standard deviations are equal. Complete parts (a) and (b) below. Use a 0.05 significance level for both parts. a. Test the claim that the two samples are from populations with the same mean. What are the null and alternative hypotheses? O A. Ho: M#H2 H₁: H₁ H₂ OC. Ho: H1
Suppose the null hypothesis, Ho, is: the mean age of the horses on a ranch is 6 years. What is the Type lI error in this scenario? Select the correct answer below: O O O O You think the mean age of the horses on a ranch is 6 years when, in fact, it is. You think the mean age of the horses on a ranch is 6 years when, in fact, it is not. You think the mean age of the horses is not 6 years when, in fact, it is. You think the mean age of the horses is not 6 years when, in fact, it is not.
B. Identify the test statistic. z=___ C. Identify the P-value. P-value=___ D. What is the conclusion based on the hypothesis test? The P-value is (greater than/ less than) the significance level of α=0.05, so (reject/ fail to reject) the null hypothesis. There (suffiecient/ is not sufficient) evidence to warrant rejection of the claim that women and men have equal success in challenging calls. Test the claim by constructing an appropriate confidence interval. The 95% confidence interval is___<(p1-p2)<____. E. What is the conclusion based on the confidence interval? Because the confidence interval limits (include/ do not include) 0, there (does/ does not) appear to be a significant difference between the two proportions. There (is sufficient/ is not sufficient) evidence to warrant rejection of the claim that men and women have equal success in challenging calls. F. Based on the results, does it appear that men and women may have equal success in challenging…
D,e,f please help