Assume that a yes/no survey question is presented to a simple random sample of male andfemale subjects and the results are summarized in a two-way table with the format of thetable to the right. Use the given value of the x2 test statistic and the given significance level totest for independence between gender and response.Test statistic: x² = 7.803; significance level: 0.05Click the icon to view the critical values of x² table.Choose the correct hypotheses below.O A. Ho: There is a relationship between gender and response.H₂:: There is no relationship between gender and response.O B. Ho: There is no relationship between gender and response.H₂: There is a relationship between gender and response.FemaleMaleYesNo Assume that a yes/no survey question is presented to a simple random sample of male andfemale subjects and the results are summarized in a two-way table with the format of thetable to the right use the given value of the v2 test statistic and the given significance level toCritical values of chi-squareCritical Values of x²: RejectHo Only If > Critical ValueTable size(rows x columns)2 x 22 x 3 or 3 x 23x32 x 4 or 4 x 22 x 5 or 5 x 2PrintSignificance level0.016.6359.21013.27711.34513.2770.053.8415.9919.4887.8159.488Done-XFemaleMaleYesNo

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Answered: Assume that a question is presented to…

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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The U.S. Department of Transportation, National Highway Traffic Safety Administration, reported that 77% of all fatally injured automobile drivers were intoxicated. A random sample of 52 records of automobile driver fatalities in a certain county showed that 35 involved an intoxicated driver. Do these data indicate that the population proportion of driver fatalities related to alcohol is less than 77% in Kit Carson County? Use ? = 0.10. What is the value of the sample test statistic? (Round your answer to two decimal places.)=__ (c)Find the P-value of the test statistic. (Round your answer to four decimal places.)=__
Consider the relationship between p-values and significance levels. a. Explain why a value of z-statistic that is significant at the 1% level in a one-sided test is always significant at the 5% level. b. Explain why the reverse is not true. If something is significant at the 5% level in a one-sided test it is not necessarily significant at the 1% level.
Past studies have indicated that the percentage of smokers was estimated to be about 34%. Given the new smoking cessation programs that have been implemented, you now believe that the percentage of smokers has reduced. You randomly surveyed 1783 people and found that 553 smoke. Use a 0.05 significance level to test the claim that the percentage of smokers has reduced.
What is the name of the test used?
In a sample of 367 students, 132 said that they enjoy science. Using a significance level of a = 0.03, determine the test statistic and p-value when testing the claim that less than 35% of students enjoy science. Round the test statistic to two decimal places and the p-value to four decimal places. The test statistic is The p-value is
A marketing director developed a short television commercial to improve the image of a company. The commercial was tested on 20 people. People’s attitudes about the company were measured with a questionnaire when they first came in for the experiment and then again with the same questionnaire after viewing the commercial. Which statistical test would be best to determine if there is a significant difference between measures? one-sample t-test dependent samples t-test independent samples t-test ANOVA
A researcher wanted to find the best viewing distance for watching a TV screen. He recruited the following number of participants and asked them to evaluate their satisfaction of the viewing distance. Then, he conducted an ANOVA to see if there is any significant mean differences. Here are the number of participants by each group: Group 1 (4 feet) - 5 people Group 2 (7 feet) - 5 people Group 3 (10 feet) - 6 people Group 4 (13 feet) - 5 people Group 5 (16 feet) - 4 people Given the numbers as presented above, what is the degrees of freedom for within groups for this analysis? a. 4 b. 20 O c. 21 d. 25
A statistician changes her level of significance from .001 to .05. What impact will this change have on her risk of making a Type I and Type II error? Is the change in the level of significance a good decision? Why or why not?

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