Scenario: We’ll continue to examine the World Development Indicators data in BirthRate 2005. We’ll focus on three categorical variables in the data table.

 Region: Global region of the country in question

 Provider: Source of maternity leave benefits (public, private, or a combination of both)

 MatLeave90+: Mandated length of maternity leave—fewer than 90 days, or 90 days and more.

For each of the following questions, use JMP to create a suitable contingency table, and report on the probability of sampling one country that satisfies the specified events. What is the probability that we sample a country

a. in Sub-Saharan Africa?

b. that provides maternity leave longer than 90 days?

c. that is in Sub-Saharan Africa and provides maternity leave longer than 90 days?

d. that provides maternity leave longer than 90 days, given that it is in Sub-

Saharan Africa?

e. where benefits are provided both publicly and privately?

f. where benefits are provided both publicly and privately or that the country is in SESAP?

g. where benefits are provided both publicly and privately given that the country is in SESAP?

Finally use your responses to consider the question of independence:

h. Are the events “in Sub-Saharan” and “longer than 90 days” independent?

Explain.

i. Are the events “Both publicly and privately provided” and “SESAP”

independent? Explain.