Males and females were asked what they would do if they received a $100 bill in the mail that wasaddressed to their neighbor, but had been incorrectly delivered to them. Of the 70 males sampled, 55said yes they would return it to their neighbor. Of the 130 females sampled, 120 said yes.The overall question is: Is this sufficient evidence to say that the two true proportions are different?Choose the best null and alternative hypothesis for this test.O Null: (p1 - p2) = 0 vs Alternative (p1 - p2) > O.O Null: (p1 - p2) = 0 vs Alternative (p1 - p2) not = 0.O Null: (mean 1 - mean 2) = 0 vs Alternative (mean 1 - mean 2) not = 0.%D%3DO Null: (p1 - p2) = 0 vs Alternative (p1 - p2) < 0.%3D

Here compare proportion of male and female said yes

Answered: The overall question is: Is this…

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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Explain, in nontechnical terms, the concepts of statistical significance and Type I and Type II error. Type I Error: Rejecting the null hypothesis when it is in fact a correct hypothesis. Type II Error: Failing to reject the null hypothesis when it is in fact an incorrect hypothesis.
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
Samples of Republicans, Democrats, and Independents have been tested for their level of support for welfare reform and the null hypothesis has been rejected. What may we conclude? a. the difference is significant, there are differences between the parties on this issue b. the difference is significant, the parties are the same on this issue c. the difference is not significant d. a Type I error hoc
Results from a civil servant exam are shown in the table to the right. Is there sufficient evidence to support the claim that the results from the test are discriminatory? Use a 0.05 significance level. Passed Failed White candidates 20 15 Minority candidates 7 21 Determine the null and alternative hypotheses. A. H0: White and minority candidates have the same chance of passing the test. H1: White and minority candidates do not have the same chance of passing the test. B. H0: A white candidate is not more likely to pass the test than a minority candidate. H1: A white candidate is more likely to pass the test than a minority candidate. C. H0: A white candidate is more likely to pass the test than a minority candidate. H1: A white candidate is not more likely to pass the test than a minority candidate. D. H0: White and minority candidates do not have the same chance of passing the test. H1: White and…
What is the difference between the null hypothesis and the alternative hypothesis when doing a hypothesis test?
If, in a (two-tail) hypothesis test, the p-value is 0.1144, what is your statistical decision if you test the null hypothesis at the 0.07 level of significance? Please choose from the answers in the picture
Significance testing is similar to hypothesis testing, except rather than comparing a p-value to a level of significance to reach a conclusion, the p-value is used as a measure for how strong the information from the sample is as evidence against the null hypothesis. A small p-value indicates that the sample provides strong evidence against the null hypothesis and is statistically significant. A larger p-value indicates that the sample provides weaker evidence against the null hypothesis and is not statistically significant. Suppose that two rival scientists want to conduct the following hypothesis test for a certain population: Ho: ≤ 60 Hy: μ > 60 Assume that the mean of the population is known to be 8.4. Scientist 1 took a sample of 36 from the population and got a sample mean of 63.164000. What is the approximate p-value for Scientist 1's data? Scientist 2 took a sample of 8 from the population and got a sample mean of 64.276582. What is the approximate p-value for Scientist 2's…
In conducting a significance test, is it easier or harder to reject the null hypothesis when the sample size is 1,500 compared to a sample size of 1,000? A: easier B: harder
A larger treatment effect means the hypothesis test has more power. True or False?
The ___________ is a value used in making a decision about the null hypothesis and is found by converting the sample statistic to a score with the assumption that the null hypothesis is true.
A newsletter publisher believes that less than 68% of their readers own a Rolls Royce. For marketing purposes, a potential advertiser wants to confirm this claim. After performing a test at the 0.05 level of significance, the advertiser decides to reject the null hypothesis. What is the conclusion regarding the publisher's claim?
If there is sufficient evidence to reject a null hypothesis at the 10% significance level, then there is sufficient evidence to reject it at the 5% significance level is: Please select the best answer of those provided below. a. Not Enough Information; this would depend on the type of statistical test usedb. always truec. Sometimes True; the pvalue for the statistical test needs to be provided for a conclusion d. never true

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The overall question is: Is this sufficient evidence to say that the two true proportions are different? Choose the best null and alternative hypothesis for this test.