Testing Normality For the hypothesis test described in Exercise 2, the sample sizes are n1 = 147 and n2 = 153. When using the F test with these data, is it correct to reason that there is no need to check for normality because n1 > 30 and n2 > 30?

If an ANOVA test is conducted and the null hypothesis is rejected, what does this indicate? Multiple Choice The p-value is greater than a. At least one pair of population means is different. The population means are equal. All population means are different.

Conduct a t-test at the .01 level. In the answer, please state the hypotheses, critical value, what test you use (one-tailed or two-tailed), the t-statistic, null hypothesis, research hypothesis

Hypothesis Test is conjectured that the proportion of all people who went trick-or-treating who also had a pumpkin carved into a jack-o'-lantern at their home is 0.62. Of interest is to test this claim versus the alternative that the proportion of all people who went trick-or-treating who also had a pumpkin carved into a jack-o'-lantern at their home is less than 0.62. A simple random sample of 270 people who went trick-or-treating is selected, and 162 of them also had a pumpkin carved into a jack-o'-lantern at their home (and the other 108 did not). If appropriate, use this information to test if the proportion of all people who went trick-or-treating who also had a pumpkin carved into a jack-o'-lantern at their home is less than 0.62 at the a = .10 level of significance. Which of the following provides both the correct null and the correct alternative hypothesis for this situation? НО: п = 0.62 Ha: π 0.62, Ha::n 0.58 Ha:: π < 0.62