Answering the following question

1. Three-Sample Study (tap-only, bottle-only, tap-and-bottle)

a.Provide the null and research hypotheses (defining all symbols) for comparing the mean weight gain among the three groups.

b.Creating an ANOVA table using weight gain as the dependent variable.

c.Using the information from the ANOVA table part (a). Conduct an overall F-test. What conclusions can be made?

d.In this example, is it appropriate to perform specific hypothesis tests to determine where group differences exist? If so, perform these tests and provide conclusions. If not, explain why the specific hypothesis tests cannot be performed.

References

Attached the Lab Report

4b,c,d Tuesday, May 12, 2020 03:59:58 PM 3 The GLM Procedure Least Squares Means wtgain Standard LSMEAN group LSMEAN Error Pr > It Number 1 40.0107407 0.2929823 <.0001 least squares means for effect group pr> It| for HO: LSMean(i)=LSMean(j) Dependent Variable: wtgain i/i 1 <.0001 ls-means for group wtgain ls-mean o group4b tuesday may pm the glm procedure dependent variable: sum of source df squares mean square f value pr> F Model 2 855.67896 427.83948 18.46 <.0001 error corrected total r-square coeff var root mse wtgain mean source df type i ss square f value pr> F group 2 855.6789616 427.8394808 18.46 <.0001 source df type iii ss mean square f value pr> F group 2 855.6789616 427.8394808 18.46 <.0001 distribution of wtgain f prob> F <.0001 o wtgain w group4b the glm procedure class level information m number of observations read used tuesday may pm least squares means comparisons for group differences alpha="0.05" not significant note: to ensure overall protection only probabilities associated with pre-planned should be>