STATS 7 Chapter Notes - Chapter 9: Null Hypothesis, Analysis Of Variance, Categorical Variable
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Chapter 16, exercises 2, 3, 4, 11, 12ab (check that you get the same values with your calculator using the raw data from exercise 11), and 48. Chapter 15, exercises 2, 4, 11, 16, 46 and 59. The response variable is a yes/no type of answer, which is categorical. Since the response variable is quantitative (scores), anova can be used. The null hypothesis is that the population mean of bmi for all three age groups is the same; their average bmi values for all age groups is equal. Ho: 1 = 2 = 3 where = the population mean of one age group. b. ) Since the p value is very small (p = 0. 003<0. 05), we reject the null hypothesis and conclude that, on average, at least one age group"s average bmi value differs from comparing all three groups together. The average bmi of the three age groups are not the same.
