The data below represents the yearly earnings (in $1000s of dollars) that high school and college (BS) graduates earn at a small firm. Determine if there is any difference in pay for the two groups: Be sure to include a complete analysis (i.e., all assumptions checked and full understanding of effects garnered) and a clear summary with all needed statistical details included.

Question

14-02-2020
Computers and Technology

contestada

The data below represents the yearly earnings (in $1000s of dollars) that high school and college (BS) graduates earn at a small firm. Determine if there is any difference in pay for the two groups: Be sure to include a complete analysis (i.e., all assumptions checked and full understanding of effects garnered) and a clear summary with all needed statistical details included.

Respuesta :

Otras preguntas

Two sides of a triangle are equal in length and double the length of the shortest side. The perimeter of the triangle is 35 inches.

True or False? A line that intersects a circle at exactly one point is called a tangent line

What is the reference angle for 5π/3

Two sides on a triangle 9cm and 23cm what is the third side

Trisha needs 4 1/2 yards of fabric to do a project. If she already has 2/3 of a yard of fabric, what is the minimum amount of fabric she must buy to be able to

which choices will help you cut back on expenses so that you can spend more money on promotions or advertising check all that apply 1. Move to a higher-reng bui

you rapidly swirl a mixture of substances with different densities in a centrifuge .What will happen

Suppose a triangle has sides 3, 4, and 5. Which of the following must be true?A. The triangle in question is a right triangle.B. The triangle in question is no

Much of our communication is nonverbal, which accounts for at least: select one: a. 75 to 80% b. 85 to 95% c. 65 to 70% d. 45 to 55%

Which colony was created so debtors and poor people could start over? a. Delaware c. Georgia b. Carolina d. Maryland

lukman4real lukman4real · Answer 1 · 2020-02-18T09:02:32+01:00

Answer:

library(moments)

library(readxl)

Exam1Q1 <- read_excel("Exam1Q1.xlsx")

View(Exam1Q1)

## Warning in system2("/usr/bin/otool", c("-L", shQuote(DSO)), stdout = TRUE):

## running command ''/usr/bin/otool' -L '/Library/Frameworks/R.framework/

## Resources/modules/R_de.so'' had status 1

plot(density(Exam1Q1$Highschool))

gostino.test(Exam1Q1$Highschool)

##

## D'Agostino skewness test

##

## data: Exam1Q1$Highschool

## skew = -0.24041, z = -0.69269, p-value = 0.4885

## alternative hypothesis: data have a skewness

agostino.test(Exam1Q1$BS)

##

## D'Agostino skewness test

##

## data: Exam1Q1$BS

## skew = 0.53467, z = 1.49330, p-value = 0.1354

## alternative hypothesis: data have a skewness

anscombe.test(Exam1Q1$Highschool)

##

## Anscombe-Glynn kurtosis test

##

## data: Exam1Q1$Highschool

## kurt = 2.56950, z = -0.29677, p-value = 0.7666

## alternative hypothesis: kurtosis is not equal to 3

anscombe.test(Exam1Q1$BS)

##

## Anscombe-Glynn kurtosis test

##

## data: Exam1Q1$BS

## kurt = 3.6449, z = 1.2599, p-value = 0.2077

## alternative hypothesis: kurtosis is not equal to 3

t.test(Exam1Q1$Highschool,Exam1Q1$BS, var.equal = T)

##

## Two Sample t-test

##

## data: Exam1Q1$Highschool and Exam1Q1$BS

## t = 0.16929, df = 76, p-value = 0.866

## alternative hypothesis: true difference in means is not equal to 0

## 95 percent confidence interval:

## -1.131669 1.341926

## sample estimates:

## mean of x mean of y

## 39.51282 39.40769

Explanation:

Summary:

The data set include two dependent variables which states High School annual earnings and BS annual earnings in the same small firm. Firstly, I used density plot function to view the distribution of two sets of variables. Secondly, I tested the skewness and kurtosis.Skewness of High School is -0.24041 which is left tail. Skewness of BS is 0.53476 which is right tail.Kurtosis of High School is 2.5695 which lower than 3 is platykurtic. Kurtosis of BS is 3.6449 which larger than 3 is leptokurtic. Thirdly, the sample population is 39 for each and has unknow standard deviation, so that I’m going to use t-test to perform the comparing analysis. The result shows p-value which equal to 0.866 is larger than significant value(alpha = 0.05). To the concludsion, there is no difference between yearly earnings of High School and of BS at a small firm.