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Question 1
Load the data set as a data.frame and design single factor variable treatment that takes the value control if receiving only encouragement, safebox if receiving a safe box, and lockbox if receiving a locked box. How many individuals are in the control group? How many individuals are in each of the treatment arms?
Question 2
Subset the data so that it contains only participants who were interviewed in 12 months during the second followup. We will use this subset for the subsequent analyses. How many participants are left in each group of this subset? Does the drop-out rate differ across the treatment conditions? What does this result suggest about the internal and external validity of this study?
Question 3
Does receiving a safe box increase the amount invested in health products? We focus on the outcome measured 12 months from baseline during the second follow-up. Compare the mean of amount (in Kenyan shilling) invested in health products fol2_amtinvest between each of the treatment arms and the control group. Briefly interpret the result.
Question 4
Examine the balance of pre-treatment variables, gender (bg_female), age (bg_b1_age) and marital status (bg_married). Are participants in the two treatment groups different from those in the control group? What does the result of this analysis suggest in terms of the internal validity of the finding presented in the previous question?
Binary search tree, and postorder and preorder traversal Determine the shortest path in Graph
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