STA429/1007 Assignment 6
Quiz on Friday March 2nd at 12:10 p.m.
Recall the Poverty Data from the last assignment. For 97 countries in the world, the file
poverty.dat
contains data for birth rates, death rates, infant death rates, life expectancies for males and females, and Gross National Product. The variables are:
- Live birth rate per 1,000 of population
- Death rate per 1,000 of population
- Infant deaths per 1,000 of population under 1 year old
- Life expectancy at birth for males
- Life expectancy at birth for females
- Gross National Product per capita in U.S. dollars
- Country Group
- Eastern Europe
- South America and Mexico
- Western Europe, North America, Japan, Australia, New Zealand
- Middle East
- Asia
- Africa
- Country
Remember you created a new variable that is the difference in life expectancy between
Males and Females. If you do Female minus Male they will be mostly positive numbers.
Also, make indicator dummy variables for Country Group,
with Western Europe etc. the reference category. Then carry out analyses to
answer the following questions:
- Controlling for live birth rate, death rate, infant mortality and
gross national product, is country group related to sex difference in
life expectancy?
- Controlling for country group, are live birth rate, death rate,
infant mortality and gross national product (tested simultaneously)
related to sex difference in life expectancy?
- By default, you'll also get t-tests for each independent variable
controlling for all the others. Be ready to interpret all the
t-tests (including those for the dummy variables), and say what the coefficients mean.
For each test, be able to say
- What is the numerical value of the test statistic. The answer is a
number.
- What is the p-value? The answer is a number.
- Do you reject the null hypothesis? Are the results statistically
significant? Answer Yes or No to each question.
- In language that is as simple and non-statistical as possible, what do
you conclude?
Please bring your log and list file to the quiz.