Nutrition Study

Description

Variables related to nutrition and health for 315 individuals

Format

A dataset with 315 observations on the following 17 variables.

ID	ID number for each subject in this sample
Age	Subject's age (in years)
Smoke	Smoker? coded as No or Yes
Quetelet	Weight/(Height^2)
Vitamin	Vitamin use: coded as 1=Regularly, 2=Occasionally, or 3=No
Calories	Number of calories consumed per day
Fat	Grams of fat consumed per day
Fiber	Grams of fiber consumed per day
Alcohol	Number of alcoholic drinks consumed per week
Cholesterol	Cholesterol consumed (mg per day)
BetaDiet	Dietary beta-carotene consumed (mcg per day)
RetinolDiet	Dietary retinol consumed (mcg per day)
BetaPlasma	Plasma beta-carotene (ng/ml)
RetinolPlasma	Plasma retinol (ng/ml)
Sex	Coded as Female or Male
VitaminUse	Coded as No Occasional Regular
PriorSmoke	Smoking status: coded as 1=Never, 2=Former, or 3=Current

Details

Data from a cross-sectional study to investigate the relationship between personal characteristics and dietary factors, and plasma concentrations of retinol, beta-carotene and other carotenoids. Study subjects were patients who had an elective surgical procedure during a three-year period to biopsy or remove a lesion of the lung, colon, breast, skin, ovary or uterus that was found to be non-cancerous.

Source

Nierenberg, Stukel, Baron, Dain, and Greenberg, "Determinants of plasma levels of beta-carotene and retinol", American Journal of Epidemiology (1989). Data downloaded from

http://lib.stat.cmu.edu/datasets/Plasma_Retinol.

Question 1: C->Q case:

1. Research question
2. The two variables, types, units/levels, roles (explanatory and response)
3. Why you chose this question and these roles.

Question 2: C->C case

1. Research question
2. The two variables, types, units/levels, roles (explanatory and response)
3. Why you chose this question and these roles.

Question 3: Estimate a population proportion

1. Research question
2. The variable, type, unit/level
3. Confidence level you want to use