Wednesday, May 6, 2020

Gender Differences Between Gender And Gpa Essay - 967 Words

Male and Female participants were analyzed to provide insight on gender differences. For the comparison between gender and GPA (T-test #2) using a t-value of (t=.056). This analysis concluded that female subjects had a GPA of (3.371 ∓ .329, n=115) versus males who had a GPA of (3.375 ∓ .373, n=30)(p=.9556)(Fig. _____/ table____). Sleep hours were then investigated to illuminate the impact it has on GPA. ANOVA (A-test #1) results indicated that subjects that got 0-4 hours of sleep had a GPA of (3.441 ∓ .168, n=6), 4-7 hours of sleep (3.364 ∓ .365, n=76), and finally 7-10 hours of sleep (3.374 ∓ .316, n=63)(p=.0919)(Figs._____). There was no statistical significance differences between group means by one-way ANOVA, F(2,142)=2.42,p=.0919 {F= F statistic, df (between)=2 , df (within)=142, F ratio=2.42}(. Difference in the amount of time worked throughout the participants was evaluated to identify a positive or negative relationship to that of GPA. The results of ANOVA (A-test #2) demonstrated that subjects who did not work (0 hours) had a GPA of (3.416 ∓ .315, n=46), subjects that worked 10 hours or less had a GPA of (3.356 ∓ .321, n=29), 10-30 hours a week (3.334 ∓ .323, n=57), 30-40 hours a week (3.347 ∓ .587, n=9), and lastly 40+ hours (3.575 ∓ .150, n=4)(p=.0683 )(Figs.______). There was no statistical significant differences between group means by one-way ANOVA F(4,140)=2.23,p=.0683 {F=F statistic, df (between)=4, df (within)=140, F ratio=2.23}. StatisticallyShow MoreRelatedWhat Is Data Analysis And Application ( DAA )1365 Words   |  6 Pagescomparing the mean GPAs of a sample of male and female students. It will pose a research question that the data will set out to answer. It will provide a null hypothesis and an alternative hypothesis, and will provide an analysis showing why the null hypothesis should be accepted or rejected in favor of the alternative hypothesis. 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