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Read the paragraphs and then answer the questions that follow by selecting the letter of the correct response.
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By joining the army, your son or daughter can make a difference in the world and receive many benefits. First, by serving the country and protecting our freedoms, your son or daughter will be building a better future for others and for him- or herself-a future full of pride, honor, and opportunities. The benefits don't end there. No matter where your son's or daughter's interests lie, the Army offers expert training in a wide range of careers: 120 in the Army Reserve and 150 in active Army. Whether he or she chooses to explore a new career or strengthen a current one, hands-on experience will provide an edge. The Army also makes college affordable. Education can be costly, but the Army offers rich benefits that can significantly lessen the financial burden. These include offering money for college, college loan repayment programs and other academic incentives. In addition, your son or daughter will experience personal growth. By joining the Army, he or she will gain valuable interpersonal skills, such as teamwork, time management, problem-solving skills and professionalism. He or she will be challenged to accept a new sense of discipline and responsibility. Army training can turn your young adult into a Soldier. Fueled by honor, pride, ability and strength, he or she can achieve great things.
Adapted from U.S. Army, http://www.goarmy.com/parents.html
-The subject of this paragraph is
Research Hypothesis
A statement predicting the relationship between variables in a study, opposing the null hypothesis.
ANOVA
Short for Analysis of Variance, a statistical method used to compare means of three or more samples.
Second Grouping Factor
A secondary variable used in an analysis to categorize or group data, allowing for comparisons across different levels of this variable.
4 × 3 Factorial Design
A statistical test used in experiments involving two independent variables, one with four levels and the other with three levels, to determine their effect on a dependent variable.
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