41. That is fairly low, and normally ground to reject the null hypothesis of normalcy. 42. Negation of the null hypothesis causes type I and type II errors to switch roles. 43. A familiarity with the range of tests available may suggest a particular null hypothesis and test. 44. The distribution of the test statistic under the null hypothesis follows a Student t-distribution. 45. With a larger sample size, the evidence might be sufficient to reject the null hypothesis . 46. The null hypothesis is not rejected. 47. The null hypothesis is that the historical event assumed by tradition alone didn't happen. 48. What we actually call type I or type II error depends directly on the null hypothesis . 49. When the results are received, they are examined against the prediction of the null hypothesis . 50. However, " significantly correlated " is not a sufficiently precise null hypothesis for this approach.
