Report writing.

Introduction:

What demographic variables (gender, age, race, etc) are signicant factors that aect our health status? The National Health and Nutrition Examination Survey (NIIANES) is a program designed to assess the health and nutritional status of adults and children in the United States. The data presented here is a random sample of 200 individuals from that study. Description of Variables Sex: Gender Age: Age in years Race: Race Education: Highest grade reached Fam_Income: Family income Code Description 1 $ 0 to $ 4,999 2 $ 5,909 to $ 9,999 3 $10,909 to $14,999 4 $15,909 to $19,999 5 $20,909 to $24,999 6 $25,909 to $34,999 7 $35,909 to $44,999 8 $45,900 to $54,999 9 $55,909 to $64,999 19 $65,909 to $T4,999 11 Ever $T5,909 12 Over $29,999 13 Under $20,990 14 $T5,909 to $99,999 15 $109,090 and Over 77 Refused 99 Don't know Poverty: Poverty income ratio (calculated by dividing family income by the poverty guidelines, specific to family size, as well as the appropriate year and state.) Weight: Weight Height: Height BMI: Body mass index Systolic: Systolic (average over 4 visits) Diastolic: Diastolic (average over 4 visits) Cholest: Cholesterol Glucose: Serum glucose 2. Objectives of study Conduct an investigation of whether educational levels or poverty (or both) are signicant factors that affect health status by answering the following questions. (a) Is education a signicant factor affecting systolic blood pressure levels? Which level of ed ucation has higher systolic blood pressure levels? Does adjusting for other demographic variables (gender, age, race, family income, poverty, weight, height, or BMI} make a dilference? (b) Is poverty a signicant variable affecting systolic blood pressure levels? Describe the direction and magnitude of the effects of poverty. Does adjusting for other demographic variables (gender, age, race, education, family income, weight, height, or BMI} make a dilference? (c) Conduct a similar analysis by answering questions {a} and (b) using the response variable cholesterol instead of systolic blood pressure, and then glucose instead of systolic blood pressure. 3. Suggested Outline I. Introduction {Statement of problem, brief description of data} II. Methods (Description of statistical methodology) III. Results (Competing models, interpretation] IV. Conclusion (Final modelfs), interpretation, recommendations) 4. Aim for 515 doublespaced pages. DO NOT submit SAS printouts. You may include impor tant plots in an appendix, or cutandpaste plots and portions of the printout into the text itself. . Be BRIEF and PRECISE about your statistical justications. {:1