Question
In: Statistics and Probability
You have the following output on the R console: > head(Salaries) Gender Salary 1 Male 43000...
You have the following output on the R console: > head(Salaries) Gender Salary 1 Male 43000 2 Female 45000 3 Male 95000 4 Female 88000 5 Male 76000 6 Female 55000 Your manager wants you to write some R code that will test whether there is a difference in the mean salary between Males and Females.
a) How would you use R to store vectors that contain only salaries by gender?
b) If x represents the vector of Male salaries and y represents the vector of Female salaries, what line of code in R tests for a difference in the means?
c) You are not told whether to conduct a one-sided or a two-sided test. Discuss why you might choose one over the other.
d) Suppose you conduct a two-sided test and the p-value is 0.06. What would you tell the manager?
Solutions
orchestra answered 2 years agoRelated Solutions
You have the following output on the R console: > head(Salaries) Gender Salary 1 Male 43000...
You have the following output on the R console:
> head(Salaries)
Gender Salary
1 Male 43000
2 Female 45000
3 Male 95000
4 Female 88000
5 Male 76000
6 Female 55000
Your manager wants you to write some R code that will test
whether there is a difference in the mean salary between Males and
Females.
a) How would you use R to store vectors that contain only
salaries by gender?
b) If x represents the vector of Male salaries...
(Be sure to paste the R Console Output and code!!!) Using the following data and R,...
(Be sure to paste the R Console Output and code!!!) Using the
following data and R, write a brief paragraph about whether the
in-home treatment is equally effective as the out-of-home treatment
for two separate groups. Here are the data. The outcome variable is
level of anxiety after treatment on a scale from 1 to 10.
In-Home Treatment
Out-of-Home Treatment
3
7
4
6
1
7
1
8
1
7
3
6
3
5
6
6
5
4
1
2...
Person Gender Married Age Children Salary Spent 1 Male No 28 1 48600 750 2 Male...
Person
Gender
Married
Age
Children
Salary
Spent
1
Male
No
28
1
48600
750
2
Male
Yes
35
2
75500
1980
3
Female
No
33
2
58900
1820
4
Female
Yes
53
1
92200
990
5
Female
No
49
1
100700
1990
6
Male
Yes
57
1
128900
1900
7
Female
Yes
53
1
84900
1000
8
Female
No
34
2
62500
2470
9
Male
Yes
55
3
142700
2400
10
Male
No
33
1
92300
2460
11
Female
Yes...
Person Gender Married Age Children Salary Spent 1 Male Yes 35 1 78900 1610 2 Male...
Person
Gender
Married
Age
Children
Salary
Spent
1
Male
Yes
35
1
78900
1610
2
Male
Yes
53
1
114100
1960
3
Male
Yes
36
2
84800
1470
4
Female
Yes
51
2
87500
1210
5
Male
Yes
39
2
85600
1320
6
Male
Yes
66
3
112800
310
7
Male
Yes
48
1
87300
1070
8
Male
Yes
36
1
73800
2080
9
Female
Yes
47
3
68500
900
10
Male
Yes
50
1
110200
1950
11
Male
No...
You are the head of an R&D department at a major pharmaceutical company. You have five...
You are the head of an R&D department at a major pharmaceutical
company. You have five cardiovascular trials to be completed in the
next two years. You currently have enough staff to complete the
work given no additional changes in project management assignments.
Discuss the positive and negative reasons why you would either
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You are thinking of purchasing a house. The house costs 300000.You have 43000 in cash...
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Provide examples of Bannon and Doyle’s male gender elements in
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1. Create the following items in R. Show the R output provided by each object. b...
1. Create the following items in R. Show the R output provided
by each object.
b The matrix 1 2 3 4 5 6 7 8 9 10 11 12 stored
as object mat1.
c The matrix 1 5 9 2 6 10 3 7 11 4 8 12 stored
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d A data frame datfr such that the vector 1 2...
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Perform a multiple regression analysis
using Self Esteem (SE) as the dependent variable (Y) and Age,
Months Unemployed, Wage at last job, Social Support, and Financial
Hardship as independent variables (X).
What is the Multiple Regression Equation?
What is the Coefficient of Multiple Determination?
City
County
State
Gender
Age
Months Unemployed
Wage at last job
Social support
Financial Hardship
SE
GSE...
Use R to complete the following questions. You should include your R code, output and plots...
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1. Two methods of generating a standard normal random variable
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a. Take the sum of 5 uniform (0,1) random numbers and scale to
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