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ation: A social psychologist gave a questionnaire assessing cóice i rkers to nine participants both before and after they att
か sketchonthispage. Start directly below and continue on the next page. Additionally, on the next page complete parts AR for
Steps & sketch for Dependent Means f, continued... c) Estimate effect size (slide 54).


Table: subject Before After Difference D-M squared deviation A6 0 2 4 0 10 3 D7 0 0 10 111 11 3 Mean 3 2 4 ss-18
0 0
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Answer #1

Null Hypothesis(H0):

Population mean difference (after - before) is not significantly different from 0. d =0

Alternative Hypothesis(H1):

Population mean difference (after - before) is significantly different from 0. d 0

Test statistic(t):

Sample mean difference, d =3; Sample size, n =9

Sample std.deviation of differences, Sd = = =1.5

Test statistic, t =(d​​​​​​​​​- d)/(Sd/) =(3 - 0)/(1.5/​​​​​​) =6

Critical value of t(tcrit):

At 0.05 significance level and at n - 1 =8 degrees of freedom, the critical value of t for a two-tailed test is: tcrit =2.3

Since the test statistic (t =6) fell in the rejection region, we reject the null hypothesis(H0) at 0.05 significance level.

Thus, there is a strong evidence that the population mean difference is significantly different from 0.

(c) Effect size = d/Sd =3/1.5 =2

(d) Since 2 > 0.8, the effect size is large, i.e., the difference can be observed easily from the given data.

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