A researcher is trying to determine the factors affecting the Entrance Exam Scores (EES) of the incoming freshmen students. He identified three demographic variables that could possibly influence the EES: a. Location were the student came from (Rural, Urban) b. the type of school were the student graduated (Public, Private) C. the Intelligence Quotient Thirty (30) incoming students were taken as respondents and the results are shown below: No. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 LOCATION Rural Rural Rural Rural Rural Rural Rural Rural Rural Rural Rural Rural Rural Rural Urban Urban Urban Urban Urban Urban Urban Urban Urban Urban Urban Urban Urban Urban Urban Urban TYPE OF SCHOOL Private Private Private Public Private Public Public Private Public Public Private Private Public Private Public Public Private Private Private Public Public Public Private Public Private Private Private Public Public Private IQ 105 106 100 110 116 111 115 95 120 125 90 88 101 89 118 105 105 104 106 116 95 105 96 98 90 103 106 109 120 110 ENTRANCE EXAM SCORE 80 90 83 93 94 82 92 84 93 96 75 78 80 83 95 84 87 89 84 85 73 80 84 82 75 86 80 89 94 85 The data could be coded as follows: Location Rural Urban Type of School Public Private Intelligence Quotient 88-106 107-125 Entrance exam Score 73-84 85-96 Code 1 2 Coder 1 2 Descriptor Low High Descriptor Not Bad Commendable Code 1 2 Code 1 2 a. Create the coded entries for the 4 variables as suggested. b. Generate one variable tables. Discuss the results.

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
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A researcher is trying to determine the factors affecting the Entrance Exam Scores
(EES) of the incoming freshmen students. He identified three demographic variables
that could possibly influence the EES:
a. Location were the student came from (Rural, Urban)
b. the type of school were the student graduated (Public, Private)
C.
the Intelligence Quotient
Thirty (30) incoming students were taken as respondents and the results are shown
below:
No.
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
LOCATION
Rural
Rural
Rural
Rural
Rural
Rural
Rural
Rural
Rural
Rural
Rural
Rural
Rural
Rural
Urban
Urban
Urban
Urban
Urban
Urban
Urban
Urban
Urban
Urban
Urban
Urban
Urban
Urban
Urban
Urban
TYPE OF SCHOOL
Private
Private
Private
Public
Private
Public
Public
Private
Public
Public
Private
Private
Public
Private
Public
Public
Private
Private
Private
Public
Public
Public
Private
Public
Private
Private
Private
Public
Public
Private
IQ
105
106
100
110
116
111
115
95
120
125
90
88
101
89
118
105
105
104
106
116
95
105
96
98
90
103
106
109
120
110
ENTRANCE EXAM SCORE
80
90
83
93
94
82
92
84
93
96
75
78
80
83
95
84
87
89
84
85
73
80
84
82
75
86
80
89
94
85
The data could be coded as follows:
Location
Rural
Urban
Type of School
Public
Private
Intelligence
Quotient.
88-106
107 - 125
Entrance exam
Score
73-84
85-96
Code
1
2
Coder
1
2
Descriptor
Low
High
Descriptor
Not Bad
Commendable.
Code
1
2
Code
1
2
a. Create the coded entries for the 4 variables as suggested.
b. Generate one variable tables. Discuss the results.
Transcribed Image Text:A researcher is trying to determine the factors affecting the Entrance Exam Scores (EES) of the incoming freshmen students. He identified three demographic variables that could possibly influence the EES: a. Location were the student came from (Rural, Urban) b. the type of school were the student graduated (Public, Private) C. the Intelligence Quotient Thirty (30) incoming students were taken as respondents and the results are shown below: No. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 LOCATION Rural Rural Rural Rural Rural Rural Rural Rural Rural Rural Rural Rural Rural Rural Urban Urban Urban Urban Urban Urban Urban Urban Urban Urban Urban Urban Urban Urban Urban Urban TYPE OF SCHOOL Private Private Private Public Private Public Public Private Public Public Private Private Public Private Public Public Private Private Private Public Public Public Private Public Private Private Private Public Public Private IQ 105 106 100 110 116 111 115 95 120 125 90 88 101 89 118 105 105 104 106 116 95 105 96 98 90 103 106 109 120 110 ENTRANCE EXAM SCORE 80 90 83 93 94 82 92 84 93 96 75 78 80 83 95 84 87 89 84 85 73 80 84 82 75 86 80 89 94 85 The data could be coded as follows: Location Rural Urban Type of School Public Private Intelligence Quotient. 88-106 107 - 125 Entrance exam Score 73-84 85-96 Code 1 2 Coder 1 2 Descriptor Low High Descriptor Not Bad Commendable. Code 1 2 Code 1 2 a. Create the coded entries for the 4 variables as suggested. b. Generate one variable tables. Discuss the results.
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