Make reference to the table below to answer the question that follows:Summary of number of times thechild has been placed previouslyMeanStd. Dev.Freq.physicallyattackedpeopleneversometimesoftenTotalSourceBetween groupsWithin groups5.58035715.95575038.7636364 8.79386079.8571429 7.8631146Total6.9893617 7.2826725L₂²Analysis of VarianceSSdfMS1125521188F568.2032362 284.1016189349.77549 185 50.5393279917.97872 187 53.0373194Bartlett's test for equal variances: chi2(2) = 12.1506 Prob-chi2= 0.0025.62Prob > FDoes this test violate the assumption of equal variances?0.0043O Yes, we are in violation of the assumption of equal variances because p= .002 for Bartlett's testO Yes, we are in violation of the assumption of equal variances because p= .0043 for the difference of means testO No, we are not in violation of the assumption of equal variances because .0043 for the difference of means testNo, we are not in violation of the assumption of equal variances because p= .002 for Bartlett's test

Here the dependent variable is the number of times the child has been placed previously.The…

Answered: Does this test violate the assumption…

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 researcher believes that the mean earnings of top-paid actors, athletes and musicians are the same. The earnings (in millions of dollars) for several randomly selected people from each category are shown in the table below. It has been confirmed that the population variance for each group is equal and that earnings follow a normal distribution for top-pain actors, athletes and musicians. Use a 5% significance to test the claim. Job Actor Actor Actor Actor Actor Actor Actor Actor Actor Actor Actor Actor Actor Actor Athlete Athlete Athlete Athlete Athlete Athlete Athlete Athlete Athlete Athlete Musician Musician Musician Musician Musician Musician Musician Musician Musician Musician Musician Musician Musician Musician Musician Earnings 31 34 33 26 21 33 30 36 27 27 34 37 36 23 30 39 46 41 36 50 30 44 43 44 46 54 65 30 39 52 37 41 45 60 60 31 49 45 45 What is the factor variable? Top-Paid Job Type What is the response variable? Earnings Test Statistic: 15.2043 X P-Value: 0.0000✓ O…
Which is not one of the major assumptions typically associated with parametric tests of significance? A. Random Selection B. Homogeneity of Variance C. Absence of restricted ranges
Students in one class are asked to complete the same questionnaire 3 times throughout the semester: at the beginning, at the midterm, and at the end. The purpose of the questionnaire is to track students' perception of their progress at different points in the semester. Scores at Time 1 (beginning of the semester), Time 2 (midterm), and Time 3 (end of semester) are compared against one another. What type of analysis of variance would be appropriate for examining the results from this dataset?
Two coworkers commute from the same building. They are interested in whether or not there is any variation in the time it takes them to drive to work. They each record their times for 20 commutes. The first worker's times have a variance of 12.2. The second worker's times have a variance of 16.9. The first worker thinks that he is more consistent with his commute times and that his commute time is shorter. Test the claim at the 10% level.What is the F statistic? (Round your answer to two decimal places.)
How did you get the variance for this problem ?
The service times for customers coming through a checkout counter in a retail store are independentrandom variables with mean 1.5 minutes and the variance 1.0. Approximate the probability that 100customers can be served in less than (a) 2 hours (b) 3 hours of total service time.
Which would be the appropriate way to test differences in proportions for more than two samples? t-test if variance is unknown z-test paired t-test F-test for equality of variances cross-tabulation procedure to conduct a chi-square test
A researcher is interested whether a new drug is effective in changing patients' cholesterol levels. She divided 33 patients into 3 groups according to the dosage the patient received. The cholesterol levels of all patients are measured and used as the data for the Analysis of Variance (ANOVA). If she reported the test statistic F = 2.1 What is the degree of freedom for the numerator of the F statistic? What is the degree of freedom for the denominator of the F statistic? What is the P-value of the F-test? (Round to 3 decimals) Given the significance level of 0.01, what can she conclude from the test? *The patients in differnt groups have simliar average cholesterial levels. The drug made no difference. *At least one group of patients have an average cholesterol level that is different from the other groups. The drug may have an effect.
Which of the following tests is used to test if the homogeneity of variance assumption is met? Tukey HSD 99 x 99 Factorial ANOVA Levene's test Post-hoc test

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