We select random samples from several racial/ethnic categories (Caucasian, African American, Hispanic, Asian American) to determine if there is a difference in overall mean earnings among the groups. Which of the following is the most appropriate statistical test to use to test if their is a difference in overall mean earnings among different racial/ethnic groups?

a. matched pairs t-test
b. two-sample t-test
c. ANOVA
d. chi-squared test for independence
e. inference for regression

ANOVA

Step-by-step explanation:

ANOVA is a statistical test. It was developed by Ronald Fisher. This test is based on the level of variance. In the simplest form, it declares the statistical test. This test tells about more population means are equal.

There the t-test has been generalized on the population.  ANOVA test has been used to test the comparison between many experiment variance. The variance has been determined in the form of the ratio. the calculation of this test is characterized as the computing of the number of the variance and the means.

step by step resolutions

1) n+n+1+n+2=51

3n+3=51

3n=48

n=16

the three numbers are 16, 17 and 18.

2) x+15=4x

3x=15

x=5

radha is now 5 years old

3) the two digits are x and y.

y=3x

(10x+y)+(10y+x)=88

y=3x

11x+11y=88

y=3x

x+y=8

x+3x=8

x=2

the original number can be either 28 or 82.

4) n+(n+2)+(n+4)=48

3n+6=48

3n=42

n=14

the numbers are 14, 16 and 18.

5) y=x+3

10y+x+10x+y=143

y=x+3

11x+11y=143

y=x+3

x+y=13

x+x+3=13

2x=10

x=5

the original number can be 57 or 75.

hope this !