1. Susan Sound predicts that students will learn most effectively with a constantbackground sound, as opposed to an unpredictable sound or no sound at allShe randomly divides twenty-four students into three groups of eight. Allstudents study a passage of text for 30 minutes. Those in group 1 study withbackground sound at a constant volume in the background. Those in group 2study with noise that changes volume periodically. Those in group 3 studywith no sound at all. After studying, all students take a 10 point multiplechoice test over the material. Their scores followtest scoresSgroup7 46 86 6295 5 3 4 4 7 2 22 471 2 1 5 51) constant sound2) random sound3) no sound b) If your ANOVA test conclude significant differences among population means,then conduct a post hoc test. Which pairs of means differ significantly at theoverall 5% significance level

The ANOVA:The ANOVA, which is required to answer this question, is obtained using Excel, as given…

Answered: 1. Susan Sound predicts that students…

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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Similar questions

When and why would you conduct an ANOVA rather than a t-test?
Acne is a common skin disease that affects most adolescents and can continue into adulthood. A study compared the effectiveness of three acne treatments and a placebo, all in gel form, applied twice daily for 12 weeks. The study's 517 teenage volunteers were randomly assigned to one of the four treatments. Success was assessed as clear or almost clear skin at the end of the 12 week period. The results of the study can be seen in the table below. Using the appropriate statistical test, determine if there is significant evidence that the four treatments perform differently. If so, how do they compare.
Company records indicate that less than 24% of employees commute to work using public transportation. You suspect this is incorrect and for a sample of 157 employees, and find that 18% of them take public transportation to work. Test the claim using a 10% level of significance. What is the p-value for this test?
A study of seat belt users and nonusers yielded the randomly selected sample data summarized in the accompanying table. Use a 0.05 significance level to test the claim that the amount of smoking is independent of seat belt use. A plausible theory is that people who smoke are less concerned about their health and safety and are therefore less inclined to wear seat belts, Is this theory supported by the sample data? BB Click the icon to view the data table. Determine the null and alternative hypotheses. O A. Ho: The amount of smoking is dependent upon seat belt use. H₁: The amount of smoking is not dependent upon seat belt use. O B. Ho: Heavy smokers are not less likely than non-smokers to wear a seat belt. H₁: Heavy smokers are less likely than non-smokers to wear a seat belt. OC, Ho: Heavy smokers are less likely than non-smokers to wear a seat belt. H₁: Heavy smokers are not less likely than non-smokers to wear a seat belt. O D. Ho: The amount of smoking is independent of seat belt…
In general, why does using a repeated-measures ANOVA increase statistical power compared to using a one-way between-groups ANOVA? Group of answer choices: a.MSbetween is lower b.MSerror is higher c.MSerror is lower d.MSbetween is higher
A sports researcher is interested in seeing if sports teams from the West Coast, Midwest, and East Coast fare differently in terms of the mean number of championships that they win. Each number below represents an individual observed sports team (X) that the researcher sampled. West Coast Midwest East Coast 7 2 11 3 4 9 Mwest = Mmid = Meast = nwest = nmid = neast = N = GM = Perform a one-way ANOVA to determine if there is a significant difference between regions in terms of the number of championships that teams win. 1. State the Main and Null Hypotheses. Assume alpha = .05 2. Find the critical F…
Suppose that you want to compare the means of several treatments in a randomized block ANOVA. If given the choice between using the randomized block ANOVA test and the Friedman test, which one would you choose if outliers occur in the sample data? Explain your answer.
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describe the difference between a one-sample t-test, a two-sample (independent-samples) t-test, a repeated measures (related-samples) t-test, and the analysis of variance (ANOVA).
What is the value of the standard score for the sample proportion?
ARE THE FOLLOWING DATA EQUALLY DISTRIBUTED ACROSS CATEGORIES? TEST AT.05 SIGNIFICANCE LEVEL. ABICID 35 15 10 45 WHAT STATISTICAL TEST WAS USED? OBSERVED VALUE ? CRITICAL VALUE? ACCEPT OR REJECT NULL? DO THE GROUPS DIFFER SIGNIFICANTLY?

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