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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