Data Management and Statistical Computing (DMC) - Questions and Answers - Statistics Assessment Answer

Assessment Task:

Question 1.
Answer all parts of Question 1 using R. 
a. Read the dataset mids2016.csv into R.  Label all variables and variable categories. Create basic tables for the variables poorpf3, pain2, poorhealth3 and priordepress2 to show that the labels have been applied.  
b. Having performed checks of the dataset, create a list of records with potentially incorrect values which you wish to flag for discussion with the data manager.  Create informative output which can be used for this purpose.  Make interim proposals for changes to the data and apply these to the dataset. 
c. Produce a list of records where prior depression was recorded but the current CESD10 score is zero.  Only present the relevant output here. 
d. Produce bar charts of the variables poorpf3, pain2, poorhealth3 and priordepress3.  Put these four graphs in a 2 by 2 panel of 4, with careful attention to graph labelling. 
e. Produce boxplots of CES-D10 by the level of pain, with careful attention to graph labelling.  Interpret your results and explain what each of the lines and symbols in the boxplots represents. 
f. Produce a graph which displays the mean CES-D10, with 95% confidence intervals for those who recorded prior depression and those who did not, with careful attention to graph labelling.  Briefly interpret your findings.

Question 2.
Answer all parts of Question 2 using Stata. 
a. Read the dataset assignment2_depression.dta into Stata.  Report on the number of missing values for each variable in the dataset.  Produce a variable which is a count of the total number of missing values for each person.  Produce a bar plot of this new variable with careful attention to graph labelling.   
b. Produce a histogram of the age variable with appropriate labels.  Comment briefly on the distribution of age.   
c. Show how the mean age varies between the social support categories, by presenting the mean age with a confidence interval around these estimates for each category of social support.   
d. Create two graphs which to show  1 whether the percentage with depression varies by social support category, and  2 whether the percentages in each BMI group varies by the ability to manage on income.   Use Stata to present these two graphs in a single panel (e.g. two graphs side by side) with careful attention to graph labelling.   
Briefly interpret your results from these two graphs. 

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