Question

question 3
according to the chapter, what kind of statistical computation is most often used for associations between two quantitative variables to assess strength and direction?
alpha
beta
t - test
correlation coefficient r
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Explanation:

The correlation coefficient \( r \) measures the strength and direction of a linear relationship between two quantitative variables. Alpha (\( \alpha \)) is often used in hypothesis testing as the significance level. Beta (\( \beta \)) can refer to the probability of Type II error. A t - test is used for comparing means (e.g., one - sample t - test, independent - samples t - test, paired - samples t - test).

Answer:

Correlation Coefficient \( r \)