Question

Research shows that people who do well on the SAT tend to do well in college (they have a higher GPA). Likewise, students who do not do well on the SAT struggle in college (they have a lower GPA). This information is used by college admissions officials to determine if a student should be admitted or not. Which of the statistical analyses described above was used to make a determination for student success?

a. Independent Samples t-test
b. Repeated measures t-test
c. One-way ANOVA
d. Regression
e. Correlation
f. One-sample t-test
g. z-test

Answer 1

Correlation is the statistical analysis used to predict student success by linking SAT scores to college GPA, but the predictive validity of SAT scores is contested.

Step-by-step explanation:

The statistical analysis that was used to determine student success based on the correlation between SAT scores and college GPA is correlation. Correlation measures the strength and direction of a linear relationship between two quantitative variables. In this case, colleges use the correlation between SAT scores and college GPA to predict future academic performance and make admissions decisions. It is important to consider, however, that the predictive validity of the SAT is debated, with some studies suggesting that these standardized tests can be biased and their ability to predict college GPA may not be as strong as once thought.