In the previous exercise, plot the data. Do you see any outliers that could influence the results? Remove the most extreme observation from each group and redo the analyses. Compare results and summarize the influence of the extreme observations
Answer to relevant QuestionsThe methods of this section make the assumption of a normal population distribution. Why do you think this is more relevant for small samples than for large samples? Refer to the previous exercise. a. For the null hypothesis, H0: μ1 = μ2, show that t = 2.62 and the two-sided P-value = 0.059. Interpret. b. What decision would you make in the test, using a (i) 0.05 and (ii) 0.10 ...Childhood obesity continues to be a leading public health concern that disproportionately affects low-income and minority children. According to the National Center for Health Statistics, obesity prevalence among low-income, ...The freshman 15 is the name of a common belief that college students, particularly women, gain an average of 15 pounds during their first year of college. A recent study ( Journal of American Health , vol. 58, 2009, pp. ...Last month a random sample of 1000 subjects was interviewed and asked whether they thought the president was doing a good job. This month the same subjects were asked this again. The results are: 450 said yes each time, 450 ...
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