TRUE OR FALSE

41. In 2-way ANOVA, when the interaction is significant, you should not test the effects of the individual factors.

42. Once the test assumptions are met, the critical step in a paired t-test is to calculate the difference for each pair.

43. The degrees of freedom for a two-sample t-test is the total number of observations in the groups plus 2.

44. For a one-sample t-test with a larger sample count, we are less likely to find a sig. difference between the sample and the population, if there is any.

45. The one-sample t test is used to compare a sample mean to a known population mean.

46. A 2-way ANOVA is usually done with replication (more than one observation for each combination of the groupings).

47. In 1-way ANOVA, if the groups with smaller sample sizes also have larger standard deviations, you will get too many false negatives.

48. The paired t-test is mathematically equivalent to one of the hypothesis tests of a 2-way ANOVA without replication.

49. observing a correlation between two variables suggests that there's something interesting going on, something you may want to investigate further.