When comparing two means, which situation is most likely to lead to a result that is statistically significant? (Consider all other factors equal, such as significance level and standard deviations.)
A) $\overline{x}_1$ = 10, $\overline{x}_2$ = 20 and the sample sizes are $n_1$ = 25 and $n_2$ = 25
B) $\overline{x}_1$ = 10, $\overline{x}_2$ = 25 and the sample sizes are $n_1$ = 25 and $n_2$ = 25
C) $\overline{x}_1$ = 10, $\overline{x}_2$ = 20 and the sample sizes are $n_1$ = 15 and $n_2$ = 20
D) $\overline{x}_1$ = 10, $\overline{x}_2$ = 25 and the sample sizes are $n_1$ = 25 and $n_2$ = 35

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The Answer of When comparing two means, which situation is most likely to lead to a result that is statistically significant? (Consider all other factors equal, such as significance level and standard deviations.)
A) $\overline{x}_1$ = 10, $\overline{x}_2$ = 20 and the sample sizes are $n_1$ = 25 and $n_2$ = 25
B) $\overline{x}_1$ = 10, $\overline{x}_2$ = 25 and the sample sizes are $n_1$ = 25 and $n_2$ = 25
C) $\overline{x}_1$ = 10, $\overline{x}_2$ = 20 and the sample sizes are $n_1$ = 15 and $n_2$ = 20
D) $\overline{x}_1$ = 10, $\overline{x}_2$ = 25 and the sample sizes are $n_1$ = 25 and $n_2$ = 35

When Comparing Two Means, Which Situation Is Most Likely to Lead