Week 3 Paper

Two or More Sample Hypothesis Testing Paper

After rejecting the null hypothesis in the one sample hypothesis testing paper the team decides to adjust the data and analyze new thoughts and ideas (). The team considers the variables in the earlier study, population density and life expectancy, a worthy pursuit. The team’s efforts focus on the concluding thoughts from the earlier paper regarding similar geographical regions offering a more consistent pattern of correlation ().

The team decides to explore the correlation between the South American and European nations. The global demographic data set provides the needed information regarding population density and life expectancy from 13 South American and 24 European countries (Lind, Marchal, and Wathen, 2008). A comparison test between the two sets of countries should reveal whether or not a correlation exists.

The null hypotheses for both variables will assume the existence of equality between the South American and European countries. The alternate hypotheses affirm an inequality is evident between the same data. The first null hypothesis states the mean population density for the South American countries is equal to the mean population density for the European countries or . The first alternate hypothesis suggests the mean population density for the South American countries is less than or greater than the mean population density for the European countries or . The second null hypothesis declares the mean life expectancy for the South American countries is equal to the mean life expectancy for the European countries or . The second alternate hypothesis asserts the mean life expectancy for the South American countries is less than or greater than the mean life expectancy for the European countries or .

After rejecting the null in the first study, the team decides to revisit step two in the hypothesis testing process. The first step in the process was the thought of gathering and researching data involving a...