(a) Identify the claim and state the null and alternative hypothesis.(b) Determine whether the test is left-tailed, right-tailed, or two-tailed, and determine whether to use a z-test, t-test,chi-squared test, or F-test.(c) Find the Test Statistic and P-Value and draw and label the distribution.(d) State your conclusion about the null hypothesis.(e) Write the final conclusion that addresses the original claim.Round all test statistics to 2 decimals, and P-values to 4 decimals.1) From a random sample of 49 Super Bowls, 28 of them were won by teams in the National Football Conference (NFC).Use a 0.05 significance level to test the claim that the proportion of NFC teams winning the Super Bowl is greater than50%.

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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)Let p1 represent the proportion of newlyweds in Ethnicity A who have a spouse of a different race or ethnicity from their own. Let p2 represent the proportion of newlyweds in Ethnicity B that have a spouse of a different race or ethnicity from their own. State the null and alternative hypotheses. (b)Calculate the standardized test statistic. (c)Calculate the P-value. (d)State the conclusion of the hypothesis test.
Rejecting a false Null hypothesis is a. Type 1 error b. Type 2 error c. Alternate error d. Null error
What is the relationship between an alternative and a null hypothesis? What is the proper way to state a null hypothesis? How do you propose a null hypothesis?
What does it mean for the results of a hypothesis test to be statistically significant?
Rejecting a true null hypothesis, which type of error it is?
The P-value for a hypothesis test is shown. Use the P-value to decide whether to reject H, when the level of significance is (a) a = 0.01, (b) a = 0.05, and (c) a = 0.10. P= 0.0406 (a) Do you reject or fail to reject H, at the 0.01 level of significance? O A. Reject H, because the P-value, 0.0406, is less than a = 0.01. O B. Fail to reject H, because the P-value, 0.0406, is less than a = 0.01. OC. Reject H, because the P-value, 0.0406, is greater than a = 0.01. O D. Fail to reject H, because the P-value, 0.0406, is greater than a = 0.01. (b) Do you reject or fail to reject H, at the 0.05 level of significance? O A. Fail to reject H, because the P-value, 0.0406, is greater than a= 0.05. O B. Reject H, because the P-value, 0.0406, is less than a = 0.05. O C. Reject H, because the P-value, 0.0406, is greater than a = 0.05. O D. Fail to reject H, because the P-value, 0.0406, is less than a = 0.05. (c) Do you reject or fail to reject H, at the 0.10 level of significance? O A. Reject H,…
Compare statistical testing with legal methods used in a U.S. court setting. Then discuss the following topics in class or consider the topics on your own. Please write a brief but complete essay in which you answer the following questions. (a) In a court setting, the person charged with a crime is initially considered to be innocent. The claim of innocence is maintained until the jury returns with a decision. Explain how the claim of innocence could be taken to be the null hypothesis. Do we assume that the null hypothesis is true throughout the testing procedure?What would the alternate hypothesis be in a court setting?(b) The court claims that a person is innocent if the evidence against the person is not adequate to find him or her guilty. This does not mean, however, that the court has necessarily proved the person to be innocent. It simply means that the evidence against the person was not adequate for the jury to find him or her guilty. How does this situation compare with a…
dentify the type I error and the type II error for a hypothesis test of the indicated claim. The percentage of households with more than 1 pet is less than 65%. Identify the type I error. Choose the correct answer below. A. Reject the null hypothesis that the percentage of households with more than 1 pet is less than 65% when it is actually true. B. Fail to reject the null hypothesis that the percentage of households with more than 1 pet is less than 65% when it is actually false. C. Reject the null hypothesis that the percentage of households with more than 1 pet is greater than or equal to 65% when it is actually true. D. Fail to reject the null hypothesis that the percentage of households with more than 1 pet is greater than or equal to 65% when it is actually false. Identify the type II error. Choose the correct answer below. A. Fail to reject the null hypothesis that the percentage of households with more than 1 pet is greater…
An Ontarian company produces and ships 16 personal computers knowing that 4 of them have defective wiring. The company that purchased the computers will thoroughly test three of the computers. The purchasing company can detect the defective wiring. 1. What is the probability that the purchasing company will find no defective computers? 2. What is the probability that the purchasing company will find exactly three defective computers? 3. What is the probability that the purchasing company will find two or more defective computers? 4. What is the probability that the purchasing company will find one or fewer defective computers?
If the null hypothesis is false, you cannot make which kind of error? Type I Type II
How would you explain the null hypothesis :H0: The proportion of participants who suffer from cancer equals between smoking participants and non-smoking participants in terms of the ramifications of type I error and type II
(c) Decide whether to reject or fail to reject the null hypothesis. Which of the following is correct? O A. Fail to reject H, because the P-value is greater than the significance level. O B. Reject Hn because the P-value is less than the significance level. O C. Fail to reject H, because the P-value is less than the significance level. O D. Reject H, because the P-value is greater than the significance level. (d) Interpret the decision in the context of the original claim. O A. At the 5% level of significance, there is sufficient evidence to support the claim that the mean class size for full-time faculty is fewer than 32 students. O B. At the 5% level of significance, there is sufficient evidence to support the claim that the mean class size for full-time faculty is more than 32 students. O C. At the 5% level of significance, there is not sufficient evidence to support the claim that the mean O D. At the 5% level of significance, there is not sufficient evidence to support the claim…

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