Academic Integrity: tutoring, explanations, and feedback — we don’t complete graded work or submit on a student’s behalf.

Matching...Determine which test is appropriate for each of the following scenari

ID: 3236369 • Letter: M

Question

Matching...Determine which test is appropriate for each of the following scenarios. For some scenarios, multiple tests may be appropriate, however, YOU MAY ONLY CHOOSE EACH TEST METHOD ONCE. So for example, you can't recommend multiple linear regression (d.) for multiple scenarios.

Tests: a.) Two sample test of means

            b.) Two sample test of proportions

            c.) Simple Linear Regression

            d.) Multiple Linear Regression

            e.) Chi-Square Test              

            f.) One-Way ANOVA

            g.) Single Sample test of mean

            h.) Single Sample test of proportion

scenario 1: I'd like to test if the same percentage of males and females smoke cigarettes (choice ______)

scenario 2: I'd like to see if there is a relationship between Wildfire sizes (measured in acres burned) and the following variables: Wind Speed, Temperature, Days since it last rained, Humidity (choice ______)

scenario 3: Is the average life expectancy the same for Hispanic, African-American, Asian-American and Caucasians? (choice ______)

scenario 4: Do 30% of Americans vote in presidential elections? (choice ______)

scenario 5: You are hired to determine if the average energy collection rate (measured numerically) for a new solar panel system is greater than that of an equally costly wind energy system. (choice ______)

scenario 6: I'd like to test to see whether there is a relationship between hours studied and scores on the final exam (choice ______)

scenario 7: Are highest education level (no hs, hs, college, grad school) and Ethnicity Independent? (choice ______)

scenario 8: Is the average height of high school basketball players less than 71 inches? (choice ______)

Explanation / Answer

1) b.) Two sample test of proportions

2)d.) Multiple Linear Regression

3) f.) One-Way ANOVA

4) h.) Single Sample test of proportion

5)    a.) Two sample test of means

6) c.) Simple Linear Regression

7) e.) Chi-Square Test   

8) g.) Single Sample test of mean