Question

Listed below are attribute ratings of males by females who participated in speed dating events (from Data Set 18 “Speed Dating” in Appendix B). Use a 0.05 significance level to test the claim that females in the different age brackets give attribute ratings with the same mean. Does age appear to be a factor in the female attribute ratings?

Answer 1

To test whether there is a difference in the mean amount of time boys and girls aged 7 to 11 play sports each day, we can use a two-sample t-test. If the p-value is less than 0.05, we reject the null hypothesis and conclude that there is a significant difference.

To test whether there is a difference in the mean amount of time boys and girls aged 7 to 11 play sports each day, we can use a two-sample t-test. The null hypothesis is that the means are equal, and the alternative hypothesis is that the means are different. We can calculate the t-statistic and the p-value to make a decision.

Using a significance level of 0.05, if the p-value is less than 0.05, we reject the null hypothesis, indicating that there is a significant difference in the mean amount of time boys and girls play sports each day. On the other hand, if the p-value is greater than or equal to 0.05, we fail to reject the null hypothesis and conclude that there is not enough evidence to suggest a difference in the means.