What is the total sum of squared deviations of each score around the means?

distribution of differences between means (sampling distribution for independent samples t-test)

In order to estimate the average cell phone minutes per day for teens throughout the U.S., you compute the mean cell phone minutes per day for 500 teens. All U.S. teens are the [answer1], the 500 teens are the [answer2], the average cell phone minutes per day throughout the U.S. is the [answer3], and the mean cell phone minutes per day the 500 teens is the [answer4].

Cuéntame de lo que hiciste durante el verano. Asegúrate de incluir detalles del ambiente y de los personajes del cuento. Debe de ser al menos unos 100 palabras.

How many participants were included in this analysis?

What is the interpretation of a Cohen’s d of -1.33? 

What is the chance of getting means that vary as much as these by chance if the null is true and they all come from the same population?

Suppose you develop an innovative, research-based GRE study prep technique and want to run a test to compare your study group to national GRE norms (mean and standard deviation). What test should you run? 

Given ethnic disparities in educational opportunities, we hypothesized educational aspirations would vary across ethnicity. We examined this using the NSYR dataset, which is a nationally representative dataset of U.S. teens. Educational aspirations were measured on a scale from 1 (no farther in school) to 7 (post-graduate or professional school). Here is the Stata output.     Visual Description .  fre ethrace5 Ethrace5 Educational aspirations of US teens Freq. Percent Valid Cum. Valid 1 White 2162 64.15 64.56 64.56 2 Black 559 16.59 16.69 81.25 3 Hispanic 334 9.91 9.97 91.22 4 Asian 40 1.19 1.19 92.42 5 Other 254 7.54 7.58 100.00 Total 3349 99.38 100.00 Missing . 21 0.62 Total 3370 100.00 .  mean  edgoal,  over(ethrace5) Mean estimation Number of obs =3,292 Mean estimation Mean Std. Err. [95% Conf. Interval] c.edgoal@ethrace5 White 5.984008 .020002 5.94479 – 6.023225 Black 5.912568 .0421225 5.829979 – 5.995157 Hispanic 5.80303 .0569558 5.691358 – 5.914703 Asian 6.3 .102532 6.098967 – 6.501033 Other 5.951417 .0622448 5.829375 – 6.073459 .   anova  edgoal  ethrace5 Number of obs = 3,292      R-squared = 0.0051 Root MSE =   .946592      Adj R-squared  = 0.0039 Source Partial SS df MS F Prob>F Model 15.162397 4 3.7905992 4.23 0.0020 ethrace5 15.162397 4 3.7905992 4.23 0.0020 Residual 2945.2735 3,287 .89603697 Total 2960.4359 3,291 .89955512  .  pwcompare ethrace5, mcompare(tukey) effects Pairwise comparisons of marginal linear predictions Margins           :  asbalanced Number of Comparisons ethrace5 10 Contrast Std. Err. t P>|t| [95% Conf. Interval] ethrace5 Black vs White -.0714392 .0453166 -1.58 0.513 -.1951213, .0522428 Hispanic vs White -.1809772 .0560065 -3.23 0.011 -.3338352, -.0281192 Asian vs White .3159925 .1510708 2.09 0.224 -.0963236, .7283085 Other vs White -.0325905 .0636329 -0.51 0.986 -.2062632, .1410821 Hispanic vs Black -.109538 .0659347 -1.66 0.458 -.289493, .070417 Asian vs Black .3874317 .155026 2.50 0.091 -.0356791, .8105425 Other vs Black .0388487 .0725245 0.54 0.984 -.1590917, .2367891 Asian vs Hispanic .4969697 .1584809 3.14 0.015 .0644294, .92951 Other vs Hispanic .1483867 .0796426 1.86 0.338 -.068981, .3657545 Other vs Asian -.348583 .1613338 -2.16 0.195 -.7889098, .0917438 Please write up these ANOVA results, making sure to: (a) adhere to APA style; (b) report and interpret the degrees of freedom, F-score, and p-value; (c) report and interpret R-squared; (d) report and interpret the pairwise comparisons—focusing on which ones were statistically significant; and (e) state the substantive conclusions from the analysis.

confidence interval