Data set: (from 25 participants) ID Education Age Marital Status Race Gender Han
ID: 3063530 • Letter: D
Question
Data set: (from 25 participants)
ID
Education
Age
Marital Status
Race
Gender
Handedness
MMSE
IQ
1
16
69
3
1
2
1
29
125
2
13
73
4
1
2
1
30
123
3
16
71
2
1
1
2
30
129
4
9
70
4
3
1
1
26
107
5
18
73
2
3
1
3
29
112
6
16
69
2
1
1
1
30
121
7
18
79
2
1
1
1
30
110
8
14
77
4
1
2
1
30
121
9
18
70
2
2
2
1
29
131
10
16
77
2
1
1
1
27
136
11
16
77
2
1
1
1
30
121
12
15
77
2
1
1
1
30
116
13
16
76
2
1
2
1
30
121
14
15
83
2
1
1
1
29
115
15
14
72
4
1
2
3
28
111
16
14
87
3
1
1
1
29
115
17
14
70
1
3
2
2
30
100
18
19
82
3
2
1
1
29
117
19
19
80
2
1
2
1
28
117
20
14
73
2
1
2
1
30
111
21
14
71
2
1
1
1
25
102
22
8
77
2
1
1
1
28
103
23
16
73
2
2
1
1
28
119
24
15
72
2
1
2
1
29
117
25
14
71
4
3
2
2
29
115
Q1. Variable type (6 points)
Indicate the scale of measurement for each of the six variables from the data set. Indicate each variable as nominal (or categorical), ordinal, or interval (or equal-interval) scale, then explain your rationale for the chosen scale of measurement. (6 points total: .5 for each variable type, .5 for each rationale)
a. Age:
b. Marital:
c. Race:
d. MMSE:
e. Education:
f. IQ:
ID
Education
Age
Marital Status
Race
Gender
Handedness
MMSE
IQ
1
16
69
3
1
2
1
29
125
2
13
73
4
1
2
1
30
123
3
16
71
2
1
1
2
30
129
4
9
70
4
3
1
1
26
107
5
18
73
2
3
1
3
29
112
6
16
69
2
1
1
1
30
121
7
18
79
2
1
1
1
30
110
8
14
77
4
1
2
1
30
121
9
18
70
2
2
2
1
29
131
10
16
77
2
1
1
1
27
136
11
16
77
2
1
1
1
30
121
12
15
77
2
1
1
1
30
116
13
16
76
2
1
2
1
30
121
14
15
83
2
1
1
1
29
115
15
14
72
4
1
2
3
28
111
16
14
87
3
1
1
1
29
115
17
14
70
1
3
2
2
30
100
18
19
82
3
2
1
1
29
117
19
19
80
2
1
2
1
28
117
20
14
73
2
1
2
1
30
111
21
14
71
2
1
1
1
25
102
22
8
77
2
1
1
1
28
103
23
16
73
2
2
1
1
28
119
24
15
72
2
1
2
1
29
117
25
14
71
4
3
2
2
29
115
Explanation / Answer
Answer to the question is as follows:
a. Age: Interval scale. A difference between 2 ages is same as same amount of difference between other 2 ages
b. Marital: This is either 0 or 1, a binomial variable. It is categorical in nature and therefore, NOMINAL
c. Race: Again a categorical variable, as they are categories of race. Therefore, NOMINAL
d. MMSE:Is INTERVAL variable , as it is again a continous variable, with same meaning of variable if 2 sets of MMSE are subtracted
e. Education: Again a continuous variable and a difference of any 2 eudcation values are equal to Education difference between other 2 education, therefore a INTERVAL variable
f. IQ:Again a continous variable, therefore IQ is a INTERVAL variable
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