Do the data provide convincing evidence that the means of the ratings associated with the game descriptions by 12- to 13-year-old boys is not the same for all four restrictive rating labels? Test the appropriate hypotheses using a significance level of 0.05. (Let u,, l,, Ha, and u, be the true mean ratings of how much 12- to13-year-old boys want to play the game on a scale of 1 to 10 for the four different age label treatments.)State the appropriate null and alternative hypotheses.O Ho : at least two of the four u,'s are differentH : = l2 = l3 = l4O H, : 4, = 42 = lg = M4H. : at least three of the four u's are differentO Ho : 4, = u2 = l3 = 44H : at least two of the four u,'s are differentO H, : all four of the u,'s are differentH : 4, = l2 = l3 = 4O Ho : 4, = l2 = l3 = 44H. : all four of the u,'s are differentFind the test statistic. (Round your answer to two decimal places.)F =Use technology to find the P-value. (Round your answer to four decimal places.)P-value = The authors of a paper on perceptions of video games carried out an experiment to determine if restrictive labels on video games actually increased the attractiveness of the game for young game players. Participants read a description of a new video game and were asked how much they wanted to play the game. Thedescription also included an age rating. Some participants read the description with an age-restrictive label of 7+, indicating that the game was not appropriate for children under the age of 7. Others read the same description, but with an age-restrictive label of 12+, 16+, or 18+. The following data for 12- to 13-year-old boysare consistent with summary statistics given in the paper. (The sample sizes in the actual experiment were larger.) For purposes of this exercise, you can assume that the boys were assigned at random to one of the four age label treatments (7+, 12+, 16+, and 18+). Data shown are the boys' ratings of how much they wantedto play the game on a scale of 1 to 10.7+ label6765 586 1412+ label 8795 7 9 58416+ label7 98 6 75 8 9 6718+ label10 9 68 | 768 9108n USE SALT

For the given data Perform Anova single factor

Answered: Do the data provide convincing evidence…

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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If sample data is such that for a one-tailed test of ? you can reject H0 at the 1% level of significance, can you always reject H0 for a two-tailed test at the same level of significance? Explain your answer? A. Yes. If H0 for a one-tailed test is rejected at the 1% level of significance, it will always be rejected for a two-tailed test at the same level of significance. B. No. If H0 for a one-tailed test is rejected at the 1% level of significance, it will never be rejected for a two-tailed test at the same level of significance. C. Yes. The P-value for the two-tailed test could be greater than 0.01. D. No. The P-value for the two-tailed test could be greater than 0.01.
A school had a lot of problems with student absences and wanted to try a intervention program to see if it encouraged students to come to school more often. As a trial, 26 students were split into two equal size groups. Group 1 would get the new intervention and Group 2 got no intervention. The mean- number of absences was calculated after one month for each group, as shown in the table below. What inference can be made about the results? Group 1 Group 2 3 5 3 1 3 2 3 4 1 3 2 1 2 3 3 4 2 5 1 3 1 6 4 2 1 2 Mean: 2.2 Mean: 3.2 Frequency200 Simulated Group Mean Differences Since the simulation shows FEW CASES OR Many Cases. where a mean difference of ___ or less occurred when the groups were re-randomized, it can be inferred that the mean difference observed in the study was VERY POSSIBLY OR VERY UNLIKELY due to the random assignment of participants into groups, so the results…
Use the attached table to answer the following: What is the dependent (response, outcome) variable? What is the independent (explanatory) variable? Describe the pattern of association between subjective class and satisfaction with financial situation.
3
Answer j and k
The Bem Sex Role Inventory (BSRI) provides independent assessments of masculinity and femininity in terms of the respondent's self-reported possession of socially desirable, stereotypically masculine and feminine personality characteristics. Alison Konrad and Claudia Harris sought to compare men in Bem's 1974 sample to men 25 years later on their judgments of the desirability of 40 masculine, feminine, or androgynous traits. Suppose that the following are the scores from a hypothetical sample of the 1974 male respondents for the attribute Gentle. 1 1 1 2 1 Calculate the mean, degrees of freedom, variance, and standard deviation for this sample. M df s2 %3D S %3D Suppose that the following are the scores from a hypothetical sample of the 1999 male respondents for the attribute Acts as Leader. 1 3 6 7 1 3 Calculate the mean, degrees of freedom, variance, and standard deviation for this sample. M %3D df %3D I| || II
give an example of a study for which the independent sample t-test is appropiate
Hotel Managers' Personalities. Successful hotel managers must have personality characteristics often thought of as feminine (such as "compassionate") as well as those often thought of as masculine (such as "forceful"). The Bern Sex-Role Inventory (BSRI) is a personality test that gives separate ratings for female and male stereotypes, both on a scale of 1 to 7. A sample of 148 male general managers of three-star and four-star hotels had mean BSRI femininity score y = 5.29 The mean score for the general male population is μ = 5.19. Do hotel managers, on the average, differ significantly in femininity score from men in general? Assume that the standard deviation of scores in the population of all male hotel managers is the same as the σ = 0.78 for the adult male population. (a) State null and alternative hypotheses in terms of the mean femininity score μ for male hotel managers. (b) Find the z test statistic. (c) What is the P-value for your z? What do you conclude about male hotel…
A poll was conducted to investigate opinions about global warming. The respondents who answered yes when asked if there is solid evidence that the earth is getting warmer were then asked to select a cause of global warming. The results are given in the accompanying data table. Use a 0.01 significance level to test the claim that the sex of the respondent is independent of the choice for the cause of global warming. Do men and women appear to agree, or is there a substantial difference? 9 Human activity Natural patterns Don't know 66 64 Male 288 307 130 155 Female Click here to view the chi-square distribution table. Identify the null and alternative hypotheses. Ho: H₂₁: Compute the test statistic. ▼and and (Round to three decimal places as needed.) Find the critical value(s). are ▼are (Round to three decimal places as needed. Use a comma to separate answers as needed.) What is the conclusion based on the hypothesis test? Ho. There sufficient evidence to warrant rejection of the claim…
A researcher believe that increasing attention given to children will improve academic performance. He invites parents to volunteer during school to help the children with their activities. At the end of the school year he compares the academic performance of these children with the mean and standard deviation of historical rate on academic achievement. Which statistic test is appropriate for this study and why? (By using the decision tree). A. Z test B. Single sample t test C. Two independent samples t test D. Two related samples t test E. One way between subjects ANOVA F. Correlation
In the table are the grade distributions of boys who have and have not played video games (a) At the 5% significance level is there sufficient evidence that gaming and grades are dependent (or associated)? (b) Association does not prove causation. Explain why you can’t conclude from this study that playingvideo games improves grades for boys.

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