Question 2 A car loans officer of a large commercial bank wishes to determine whether the amount of money owned by delinquent car-loan customers when their car is repossessed is related to the type of car owned. Twenty delinquent customers are randomly selected and assigned to 1 of 4 groups, depending on the type of car owned. The outstanding amount of the loan is then recorded. This data (in hundreds of dollars) is presented below. Compact Mid-size 16.5 Full-size Sports 19.5 8.9 14.1 9.9 18.3 13.0 21.2 18.1 12.2 19.4 14.9 22.2 20.7 16.2 12.2 18.7 12.9 17.8 21.8 (a) Using R-Studio, derive the analysis of variance table. Ensure that you provide the code used and relevant output tables. (b) Do these data provide sufficient evidence to indicate there are significant differences between the mean amounts owed for the 4 types of cars? Test at a significant level of 5 percent. Ensure that you state the null hypothesis(es) and the decision rule in your analysis. (c) Using R-Studio, carry out relevant tests to determine if the assumptions of the ANOVA analysis were violated. Carefully discuss your findings quoting relevant statistics. (Provide the code used and relevant output tables.)
Question 2 A car loans officer of a large commercial bank wishes to determine whether the amount of money owned by delinquent car-loan customers when their car is repossessed is related to the type of car owned. Twenty delinquent customers are randomly selected and assigned to 1 of 4 groups, depending on the type of car owned. The outstanding amount of the loan is then recorded. This data (in hundreds of dollars) is presented below. Compact Mid-size 16.5 Full-size Sports 19.5 8.9 14.1 9.9 18.3 13.0 21.2 18.1 12.2 19.4 14.9 22.2 20.7 16.2 12.2 18.7 12.9 17.8 21.8 (a) Using R-Studio, derive the analysis of variance table. Ensure that you provide the code used and relevant output tables. (b) Do these data provide sufficient evidence to indicate there are significant differences between the mean amounts owed for the 4 types of cars? Test at a significant level of 5 percent. Ensure that you state the null hypothesis(es) and the decision rule in your analysis. (c) Using R-Studio, carry out relevant tests to determine if the assumptions of the ANOVA analysis were violated. Carefully discuss your findings quoting relevant statistics. (Provide the code used and relevant output tables.)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Kindly explain steps as I do not understand R studio

Transcribed Image Text:Question 2 ,
A car loans officer of a large commercial bank wishes to determine whether the
amount of money owned by delinquent car-loan customers when their car is
repossessed is related to the type of car owned. Twenty delinquent customers are
randomly selected and assigned to 1 of 4 groups, depending on the type of car
owned. The outstanding amount of the loan is then recorded. This data (in hundreds
of dollars) is presented below.
CompactMid-size
Full-size
Sports
19.5
8.9
16.5
14.1
9.9
18.3
13.0
21.2
19.4
16.2
12.2
14.9
18.1
12.2
22.2
18.7
12.9
20.7
17.8
21.8
(a) Using R-Studio, derive the analysis of variance table. Ensure that you provide
the code used and relevant output tables.
(b) Do these data provide sufficient evidence to indicate there are significant
differences between the mean amounts owed for the 4 types of cars? Test at
a significant level of 5 percent. Ensure that you state the null hypothesis(es)
and the decision rule in your analysis.
(c) Using R-Studio, carry out relevant tests to determine if the assumptions of
the ANOVA analysis were violated. Carefully discuss your findings quoting
relevant statistics. (Provide the code used and relevant output tables.)

Transcribed Image Text:A firm is trying to higher new management trainees. After the preliminary interview
the potential trainees are ranked into four (4) groups: Poor, Fair, Good and
Excellent. The firm then administers three computer-based aptitude tests to
evaluate the Verbal Ability, Data Interpretation and Problem Solving of the
prospective management trainee. The candidates are allowed to take each test twice
and the higher grade is reported. The scores obtained are listed in the following
table:
Test Type
Subject Type Verbal
Ability
Data
Problem
Interpretation Solving
Poor
65
68
69
71
75
75
Fair
Good
Excellent
74
64
83
79
72
84
72
69
73
78
70
65
68
78
82
78
76
75
(d) Using R-Studio, derive the analysis of variance table. Ensure that you provide
the code used and relevant output tables.
(e) State the null hypothesis(es), the decision rule for a = 0.05 and make the
decision for each hypothesis.
() Using R-Studio, carry out relevant tests to determine if the assumptions of
the ANOVA analysis were violated. Carefully discuss your findings quoting
relevant statistics. (Provide the code used and relevant output tables
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