I would appreciate someone checking my figures and checking my answers identified in red for accuracy in the attached files. I am a novice in statistics and apprecaite any help I can get. Assumption of Homogeneity of VarianceThe ANOVA requires that the assumption of homogeneity of variance be met. The assumption ofhomogeneity of variance was examined using the Lexene's test. The assumption of homogeneity ofvariance was met where (p= .07). See Table 3 for Levene's test of Equality of Error Variance.Table 3Levene's Test of Equality of Error VariancesLeveneStatistic3.1471.6781.678dfl222a. Dependent variable: Scoreb. Design: Intercept + Professiondf2141411.381Score Based on MeanBased on MedianBased on Median andwith adjusted dfBased on trimmed mean3.087214.078Tests the null hypothesis that the error variance of the dependent variable is equalacross groups.ResultsSig..074222230An ANOVA was run to see if there was a difference among job satisfaction in teachers, nurses, orpsychologist. The independent variable was type of job and the dependent variable was job satisfaction.The researcher rejected the null hypothesis at the 95% confidence level where (2,14)=92.83, p= .07.Partial eta square equaled (n²part = .930). The effect size was extremely large. There was a statisticaldifference in job satisfaction among teachers (M= 85.33, SD 4.46), nurses (M= 87.40, SD = 1.52), andpsychologists (M= 60.33, SD = 4.23). See Table 4 for Tests of Between-Subjects Effects.Table 4Dependent Variable: ScoreType III Sum ofSquaresSourceCorrected ModelInterceptProfessionErrorTotalCorrected Total2623.898¹101850.1332623.898197.867103923.0002821.765R Squared 930 (Adjusted R. Squared = .920)Table 5Multiple ComparisonsScoreTukey HSDProfessionPsychologistsTeachersNursesN66Tests of Between-Subjects EffectsBecause the researcher rejected the null, post hoc analysis was required. A Tukey test was performed to compare all possible pairs ofgroup means among the three professions. Based on this test, it was found that psychologists (M= 60.33, SD=4.23) significantly lower jobsatisfaction than teachers (M= 85.33, SD 4.46), and nurses (M=87.40, SD = 1.52). See Table 5 for Multiple Comparisons.5160.332121417161.000Sig.Means for groups in homogeneous subsets are displayed.Based on observed means.The error term is Mean SquareError) = 14.133.Uses Harmonic Mean Sample Size = .625.Mean Square1311.949101850.1331311.94914.133F92.8277206.37792.827Subset2Sig.<.001<.001<.00185.3387.40.636☐b. The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not guaranteed.c. Alpha= .05. 123456789101112131415ProfessionTeacher ScoreSWilliamsSmithLogan111Alexander 11Nurses ScoreOliverDanielsJones122JeffersonMadison 2Kelley2Michaels223Christian 3McBride3AcaraWelchValid N(listwise)Valid N(listwise)16Elm17Toller18Mason360RQ: Is there a significant difference between job satisfaction among teachers, nurses, or psychologist?Descriptive statsPsychol Scoreogists Valid N(listwise)Tests of NormalityProfessionScore TeachersNursesPsychologisN66553366mum80858086915680878898Statistic.2262542108588898788655658Mini Maxi5766Std.DeviationMeanmum91 85.33 4.45789 87.40 1.51766Kolmogorov-Smirnovadf60.33 4.227656ts. This is a lower bound of the true significance.Sig.200*200*200*Statistic.891914.877Shapiro-Wilkdf656Sig.322.492256100TeachersNurses908070Descriptive StatisticsScore60Profession50PsychologistsScoreValid N (listwise)ScoreValid N (listwise)ScoreTeachersValid N (listwise)ProfessionTeachersNursesPsychologistsN6Statistic.22625421065566Minimum808556NursesProfessionKolmogorov-Smimov"df656MaximumSig.200*200*200*918966MeanStatistic.89191487785.3387.4060.33Assumption of NormalityThe ANOVA requires that the assumption of normality be met. Normality was examined usingShapiro-Wilks. The assumption of normality was met. See Table 2 for Tests of Normality.Tests of NormalityPsychologistsStd. Deviation4.457Shapiro-Wilkdf6561.5174.227Sig.322.492256

Since you have posted a question with multiple sub-parts, we will solve the first three sub-parts…

1 2 3 4 5 6 7 7 8 9 10 11 12 13 14 15 16 Williams Smith Logan 1 1 1 Alexander 1 1 1 2 S Oliver Daniels Jones Jefferson Madison 2 Kelley 2 Michaels 2 Acara 2 Welch Profession Teacher Score Valid N (listwise) Nurses Score Valid N (listwise) Psychol Score ogists Valid N (listwise) Tests of Normality Profession Score Teachers Christian McBride Elm 17 Toller Mason 18 3 60 RQ: Is there a significant difference between job satisfaction among teachers, nurses, or psychologist? Descriptive stats Nurses Psychologis N 6 6 2 6 6 3 3 3 3 3 254 .210 80 86 91 80 87 88 98 85 88 89 87 88 65 56 58 Statistic 226 Mini Maxi mum 57 66 80 91 5 85 89 87.40 1.517 5 Std. Deviati on 85.33 4.457 mum Mean 56 66 60.33 4.227 Kolmogorov-Smirnov df 6 5 6 Sig. .200* .200* 200* ts *. This is a lower bound of the true significance. Statistic .891 .914 .877 Shapiro-Wilk df 6 5 6 Sig. .322 492 256 100 Nares 90 70 Descriptive Statistics 50 Profession Teachers Score Psychologists Teachers Score Valid Natwise) Score Valid Nawise) Score Valid (sise) Profession Teachers Nurses N 6 Statistic 226 254 6 S 5 6 5 Minimums 10 $5 Kolmogorov-Smirnov df 6 . 56 Nurses Profession Maximum Sig. 200⁰ 200⁰ 91 SP 66 Assumption of Normality The ANOVA requires that the assumption of normality be met. Normality was examined using Shapiro-Wilks. The assumption of normality was met. See Table 2 for Tests of Normality. Tests of Normality Statistic .891 914 Mean 85.33 033 $7.40 60.33 Psychologists S4 Deviation 4.457 5 Shapiro-Wilk df 6 1.517 4.227 Sig. 322 492 266

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P