13.Does drinking alcohol affect how attractive other peopleseem? If so, what kinds of alcohol? To find out, Lauren had 48participants rate the attractiveness of faces on a 0-to-10 scale afterthey had consumed 500 ml of either non-alcoholic beer (placebo),medium-strength beer, or strong beer. Here are the results of theomnibus ANOVA:DescriptivesDescriptives - AttractivenessAlcoholMeanSDN5.6884.5631.3521.711Medium16Placebo16Strong6.5630.96416ANOVA - AttractivenessCasesSum of SquaresdfMean SquareFAlcohol32.167216.0838.484<.001Residuals85.312451.896Note. Type III Sum of SquaresHere are the results of planned contrasts for each pair of groups:dfPlacebo vs. Medium:-2.063300.048dfPlacebo vs. Strong:-4.07330<.001dfMedium vs. Strong:-2.107300.044And here are the results of Tukey post hoc comparisons:Post Hoc Comparisons - AlcoholMean DifferenceSEPtukeyPlaceboMedium-1.1250.487-2.3110.064Strong-2.0000.487-4.108< .001MediumStrong-0.8750.487-1.7970.182Note. P-value adjusted for comparing a family of 3For which pair(s) of groups did the planned contrasts andpost hoc comparisons yield the same decision regardingstatistical significance (a = .05)? For which pair(s) of groups didthey yield different decisions?If Lauren had no theory-driven hypotheses about whichwould differ from each other, which set of follow-upanalyses (planned contrasts or post hoc comparisons) should begroupsused?Based on the follow-up analyses you chose in theprevious bullet point, what kind(s) of beer affect perceivedattractiveness?

Given information: The ANOVA table is given.

Answered: Does drinking alcohol affect how…

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 large department store examined a sample of the 21 credit card sales and recorded the amounts charged for each of three types of credit cards: MasterCard, Visa, and Discover. Six MasterCard sales, seven Visa, and eight Discover sales were recorded. The store used an ANOVA to test if the mean sales for each credit card were equal. What are the degrees of freedom for the F statistic?
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.
The table below lists body temperatures obtained randomly selected subjects. The temperatures are categorized according to gender and whether the subject uses drug. Using a 0.05 significance level, test for an interaction between gender and usage of drug, test for an effect from gender, and test for an effect from usage of drug. What do you conclude? Use Drug Does Not Use Drug Male 98.4 97.4 96.8 98.2 98.4 97.4 97.4 98.0 Female 98.6 99.3 98.2 98.6 97.0 98.4 97.2 98.7
ShopEasy Inc. is a specialty e-tailer that operates 87 catalogue websites on the Internet. Larson Brown, Sales Director, feels that the style (colour scheme, graphics, fonts, etc.) of a website may affect its sales. He chooses three levels of design style (neon, old world and sophisticated) and randomly assigns six catalogue websites to each design style. Analysis of Larson's data yielded the following ANOVA table: Source of Variation Between Groups Within Groups Total SS 19.43 2.85 O 3.68 O 19.45 O 3.57 df 68102.33 2 34051.17 Using a = 0.05, the critical F value is MS 29177.67 15 1945.178 97280 17 F
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 random sample of 1100 potential voters was randomly divided into 2 groups. Group 1: 500 potential voters; no registration reminders sent; 248 registered to vote Group 2: 600 potential voters; registration reminders sent; 332 registered to vote Do these data support the claim that the proportion of voters who registered was greater in the group that received reminders than in the group that did not? Use a 1% level of significance.
Which of these experiments sounds the most like it would be analyzed with an Independent-Samples t-test? A. A study that gives patients a placebo on Monday and measures their pain, then has them back on Friday and gives them a real pain pill and measures their pain B. A study that compares tennis players vs. football players on their peak heart rate while playing their sports C.A study that looks at the attention span of a group of n=30 5-year-olds and then follows up with those same kids when they are 10-years-old D. A study that measures the knowledge of the transfer process for a group of Chaffey students, both before and after they attend an orientation

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