8. i. T F ii. T F iii. T F iv. T F v. T F vi. T F One-tailed tests provide stronger evidence against the null than two-tailed tests. In very large samples even very small effects can be statistically significant. In very small samples even very large effects can fail to be statistically significant. If we reject the null hypothesis we have proven that the null hypothesis is false. If we retain the null hypothesis we have proven that the null hypothesis is true. The p-value tells us the magnitude of the effect. If a test is statistically significant it means the effect is large enough to be meaningful and have practical significance