A psychologist was interested in the effects of alcohol on mate selection at night clubs. Herprediction was that after alcohol had been consumed, subjective perceptions of the physicalattractiveness of another person would become more "inaccurate" (a phenomenon known as thebeer-goggles effect). She was also interested whether this effect was different for men and women.She selects a group of participants to join her at a night-club: 14 men and 14 women. She thenrandomly assigns each participant to either consume multiple alcoholic beverages (the 'alcoholgroup) or to consume no alcohol (the 'no-alcohol' group). At the end of the evening, she takes aphotograph of the person each participant was chatting up. She then asked a pool of independentraters to assess the attractiveness of the person in each photo (higher scores indicating higher levelsof attractiveness).Which of the following lists include all significant effects?AlcoholNo alcohol6.63.8Men 6.04.1WomenThe sourceofDegreesofMSFvariabilitywithindatasetFreedomGender168.75Condition1332.29Interaction197.80Error3487.44TotalO Main etfect of genderO Main effect of gender, interaction effectO Interaction effectO Main effect of condition

Given information: The output of two way ANOVA is given.

Answered: A psychologist was interested in the…

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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An article about the California lattery gave the following information on the age distribution of adults in California: 35% are between 18 and 34 years old, 51% are between 35 and 64 years old, and 14% are 65 years old or older. The artide also gave Information on the age distribution of those who purchase lottery tickets. The following table is consistent with the values given in the article. Suppose that the data resulted from a random sample of 200 lattery ticket purchasers. Based on these sample data, is it reasonable to condude that ane or more af these three age groups buys a disproportionate share of lottery tickets? Use a chi-square goodness-of-fit test with a- 0.05. (Round your answer to two decimal places.) Age of Purchaser Frequency 18-34 45 35-64 100 65 and over 55 P-value interval Op

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