Paper , Order, or Assignment Requirements
The answers to questions 1-3 must include
what data you used (inclusion / exclusion)
and selection of appropriate statistical measures and why,
an appropriate presentation of the data in a graph and / or table,
statements about assumption testing, and
an appropriate conclusion based on a statistical test, with justification in text.
Report the p-value to 2 or 3 decimal places (p=0.02, p<0.001, p=0.008 for example) and other values to 2 decimal places. There will be penalties for going over specified word and page limits.
Analysis questions using HINTS data
These analyses require using several variables from the HINTS4 Cycle 2 data set and assessing the relationship of several variables. In particular, you will be testing the relationships of BMI, both as a continuous variable (provided) or as a categorical variable, which will need to be constructed, and several other variables of interest. Variable names are in brackets and their details may be found in the codebook.
Max 5 pages to answer questions 1-3
Consider body mass index BMI (bmi) as a continuous variable. Use hours of watching television or playing computer games (AverageDailyTVGames) in hours per day as a continuous variable to predict BMI. Comment on the similarity or otherwise of the relationship between men and women. Gender is (genderc).
Consider BMI (bmi) as a continuous variable. Is BMI related to annual income (IncomeRanges) when income is considered to be 4 categories (“$0 to $34,999”, “$35,000 to $99,999”, “$100,000 to $199,999” and “$200,000 and above”)? Comment on the similarity or otherwise of the relationship between men and women.
For both men and women, underweight is BMI < 18.5; healthy weight is BMI >= 18.5 to <25; overweight is BMI > = 25 to <30; obese is BMI > = 30. Construct a categorical variable with these categories from the continuous variable BMI (bmi). Analyse the relationship between the BMI categorical variable and Income variable with four categories used in Question 2. Interpret your findings
Write 200 words describing your overall conclusions from the above analyses in Questions 1-3. Comment on the findings. (Essentially a summary of Qs 1-3).
Write an analysis plan to examine the relationships between several variables from the HINTS4 Cycle 2 participants’ with their reported age using the age variable is in 5 categories (AgeGrpB). Consider age group in relation to several other variables, namely, gender (genderc), education (Education), using the internet to look up cancer information (InternetCancerInfoSelf) and BMI category as defined in Question 3. Finally, include a brief analysis plan to relate one sleep pattern variable, which is the hours per working day (SleepWorkdayHr), with continuous BMI (bmi). Use the same PDF codebook as for Questions 1 to 4. This is available in attached documents.