The accompanying table lists distances (mm) between pupils of randomly selected U.S. Army personnel collected as part of a large reputable study. Results from two way analysis of variance are also shown. Use the displayed results and use a 0.05 significconclude?Click the icon to view the data and two-way analysis of variance results.CFirst test for an interaction between the two factors. Determine the null and alternative hypotheses. Choose the correct answer below.OA. Ho Distances between pupils are affected by an interaction between gender and handedness.H₁: Distances between pupils are not affected by an interaction between gender and handedness.DOB. Ho Distances between pupils are not affected by handedness.H₁: Distances between pupils are affected by handedness.OC. Ho: Distances between pupils are not affected by an interaction between gender and handedness.H₁: Distances between pupils are affected by an interaction between gender and handedness.OD. Ho Distances between pupils are not affected by gender.H₁ Distances between pupils are affected by gender.Determine the test statistic.The test statistic isRound to two decimal places as needed.)Determine the P-value.The P-value is(Round to three decimal places as needed.)Determine the proper conclusion at the 0.05 significance level. Choose the correct answer below.OA. Fail to reject Ho. There is insufficient evidence to support the alternative hypothesis. There does not appear to be an interaction between gender and handedness.OB. Fail to reject Ho. There is insufficient evidence to support the alternative hypothesis. There appears to be an interaction between gender and handedness.OC. Reject Ho. There is sufficient evidence to support the alternative hypothesis. There appears to be an interaction between gender and handedness. Determine the null and alternative hypotheses. Choose the correct answer belowan interaction bby an interactiData and Two-Way ANOVA Resultsby handedneshandedness.Dby an interactiFemaleMaleRight-Handed65 64 60 59 5567 62 68 69 70Left-Handed70 63 61 69 6369 69 64 66 65an interaction bSource:DF:by gender.ender.MS:Test Stat, F:2.84632Critical F:4.49401P-Value:0.11098Interaction:133.8Row-Variable:1806.736844.494010.01952Column Variable:1201.684214.494010.21276PrintDonece level. Choose the correct answer below.to support the alternative hypothesis. There does not appear to be an interaction between gender and handedness.to support the alternative hypothesis. There appears to be an interaction between gender and handedness.ort the alternative hypothesis. There appears to be an interaction between gender and handedness.SS:33.88020XT

The level of significance is 0.05.

Answered: e accompanying table lists distances…

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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Report an appropriate hypothesis test for a positive linear relationship and use a 5% significance level. Explain the potential error in words, in context. In the answer options below I have used the phrase “a certain relationship” because I don’t want to give away exactly what type of relationship it is. Group of answer choices We would be accepting that there was a certain relationship between Sale amount and Tip when actually there wasn’t. We would not be accepting that there was a certain relationship between Sale amount and Tip when indeed there wasn’t. We would not be accepting that there was a certain relationship between Sale amount and Tip when actually there was. We would be accepting that there was a certain relationship between Sale amount and Tip when indeed there was.
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A brokerage firm wants to conduct a study to see if there is a linear relationship between the size of an account and the number of trades conducted each year. What would be the most appropriate procedure to use to analyze data to answer this question? Only choose a test that handles multiple comparisons if such a test is needed. O ANOVA (Analysis of Variance) O Regression Test of Slope or Correlation O Test for a Difference of Proportions O Chi-square test of association O Test for a Difference of Means
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Multiple choice. Please answer both questions below. 1.) The overall F-test obtained from performing a multi-way ANOVA comparing average cycling speed for 30 minutes of exercise across age groups (adolescents, adults, and the elderly) and geographic locations (rural and city subsamples) resulted in a p-value that was statistically significant for city versus rural but not for age. Which of the following is true? a. The variability between the rural/city area groups is larger than variability within each area, however, the variability between age groups is the same. b. The variability within the rural/city area groups is very large compared to between-group variability and the opposite for age. c. The ratio of the between and within variability was not sufficiently large for rural/city area. d. The F-statistic was larger than the critical value obtained from the F-distribution for age. 2.) Which of the following best describes the term (multi)collinearity in a regression setting? a. It…
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C12. Using Monitoring the Future 2017 data, we examine whether a relationship exists between the race/ethnicity of a student and how the student rates the importance of being a community leader. IMPLDRCOMUNTY is measured on an ordinal scale: 1 = not important, 2 = somewhat important, 3 = quite important, and 4 = extra important. Analysis of variance results are presented. 1) Set alpha at .05. What do you conclude about the relationship between student race/ethnicity and the importance of being a community leader? 2) What is the eta square for this model? 3) If alpha were set at .01, would your decision change? Explain.

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