men Poo l #1 Pool #2 Pol # 3 Sunscreen 8. 13 wearers non Sunscreen wearers 31 27 19 Women Pool #1 Pool # 2 Pool #3 Sunscrcen 23 39 13 wearers non Sunscreen wearers 17 2. Claim: women are more likely to wear SPF than men. I went to three different pools over the course of one week and aSKed men and women if they were wearing Sun screen and the se were the results I got. Identify the null and altcrnative hypothesis. Find the test Statistic using the 2-distribuition formula Zニ • identify the p-value Spă + P ē Calculate 3 interpret the Confidence interval Con Clude reject or fail to reject the null hyPothesis * use o.05 % levei 6ff Significance

men Poo l #1 Pool #2 Pol # 3 Sunscreen 8. 13 wearers non Sunscreen wearers 31 27 19 Women Pool #1 Pool # 2 Pool #3 Sunscrcen 23 39 13 wearers non Sunscreen wearers 17 2. Claim: women are more likely to wear SPF than men. I went to three different pools over the course of one week and aSKed men and women if they were wearing Sun screen and the se were the results I got. Identify the null and altcrnative hypothesis. Find the test Statistic using the 2-distribuition formula Zニ • identify the p-value Spă + P ē Calculate 3 interpret the Confidence interval Con Clude reject or fail to reject the null hyPothesis * use o.05 % levei 6ff Significance

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

See similar textbooks

Similar questions

Evolution and Scientists. A professor claims that more than 83% of all scientists believe in evolution. In a 2014 Pew Research survey of a representative sample of 162 scientists connected to the American Association for the Advancement of Science (AAAS), 146 of these scientists say they believe in evolution. Perform a hypothesis test of the professor's claim using these data.(a) Select the correct null and alternative hypotheses. Ho: p = 0.83Ha: p ≠ 0.83 Ho: p = 0.9Ha: p ≠ 0.9 Ho: p = 0.83Ha: p > 0.83 Ho: p = 0.9Ha: p > 0.9 Ho: p = 0.83Ha: p < 0.83 Ho: p = 0.9Ha: p < 0.9 (b) Find the p-value (round to 4 decimals). (c) Decide whether or not to reject the null hypothesis when α=0.05α=0.05. Fail to reject null hypothesis Reject null hypothesis (d) You should decide that ... there is not enough evidence at α=0.05α=0.05 that more than 83% of scientists believe in evolution. there is enough evidence at α=0.05α=0.05 that more than 83% of scientists believe in evolution.
If a hypothesis test rejects the null hypothesis test at a = 0.05 will it also always reject the null at a = 0.01?
If your claim is in the alternative hypothesis and you fail to reject the null hypothesis, then your conclusion would be:
If we do not reject the null hypothesis when the null hypothesis is in false, then we have made a
According to the Centers of Disease Control, about 22% of American young people between the ages of 12 and 19 are obese.A student claims that the students in his local schools are in better shape than the national average, so their proportion of obese students is less than 22%. Which are the appropriate null and alternative hypotheses for this study? H0: p = 22%, HA: p < 22% H0: p ≠ 0, HA: p = 0 H0: p = 22%, HA: p > 22% H0: p = 22%, HA: p ≠ 22% Suppose that the result is to Fail to reject H0.Which is the proper conclusion? There is sufficient evidence to support the claim that the students at his local schools have a smaller proportion of obese students. There is not enough information to answer this question. There is not sufficient evidence to support the claim that the students at his local schools have a smaller proportion of obese students.
If you are not able to prove the alternative hypothesis, this means the null hypothesis is correct. Select one: True False
The solution for H0 or H1 was not given or explained in the expert solution provided.
When is a researcher at risk of making a type 2 error? whenever H0 is rejected whenever H1 is rejected whenever H0 fails to reject the risk of a type 2 is independent of the decision from a hypothesis test
If you fail to reject the null hypothesis when it is, in fact, false; what type of error is this called? If you retain the null hypothesis when it is, in fact, true; have you made an error? If so, which one? If you reject the null hypothesis, when it is, in fact, true, what type of error have you committed?
Can you state the null hypothesis H0 and the alternative hypothesis H1? .
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.
Differentiate Between Type I and Type II Errors When Performing a Hypothesis Test Question Determine the Type I error if the null hypothesis, Ho, is: an electrician claims that no more than 10% of homes in the city are not up to the current electric codes. Select the correct answer below: The electrician thinks that no more than 10% of homes in the city when, in fact, there really are no more than 10% that are not up to the current electric codes. are not up to the current electrical codes The electrician thinks that more than 10% of the homes in the city are not up to the current electrical codes when, in fact, there really are more than 10% of the homes that do not meet the current electric codes. The electrician thinks that more than 10% of the homes in the city are not up to the current electrical codes when, in fact, at most 10% of the homes in the city are not up to the current electric codes. The electrician thinks that no more than 10% of homes in the city are not up to the…