Obtain the appropriate measure of dispersion for age and both income variables. DATA Subject Gender Marital Status Age Education Household Income Personal Income 1 F 1 30 0 70000.00 40000.00 2 F 0 40 0 32500.00 32500.00 3 M 1 45 0 42000.00 .0 4 M 1 23 0 50000.00 50000.00 5 M 0 50 0 4500.00 4500.00 6 F 0 65 1 40000.00 22000.00 7 F 1 33 1 12000.00 12000.00 8 F 0 20 2 56000.00 52000.00 9 F missing 30 3 17500.00 17500.00 10 M 1 Missing 4 44000.00 39000.00 11 M 2 58 1 missing missing 12 M 2 32 2 10000.00 10000.00 13 M 1 35 3 missing missing 14 F 2 23 4 100000.00 50000.00 15 F 2 34 1 64000.00 64000.00 16 M 1 26 2 Missing missing 17 M 1 36 3 missing missing 18 F 0 41 4 7500.00 5500.00 19 F 0 43 1 missing missing 20 F 1 46 2 100000.00 missing 21 F 1 18 3 24000.00 24000.00 22 F 1 40 4 42000.00 22000.00 23 M 2 19 1 missing missing 24 M 2 23 2 missing missing 25 M 2 24 3 3500.00 3500.00 26 F 1 55 4 45000.00 22500.00 27 M 1 52 1 350000.00 .0 28 M 1 34 2 5000.00 5000.00 29 F 0 35 3 10000.00 310400.00 30 M 0 61 4 55000.00 42000.00 31 F 0 63 1 25000.00 25000.00 32 M 1 66 2 22000.00 22000.00 33 M 1 42 3 40000.00 40000.00 34 M missing 47 4 40000.00 40000.00 35 F 1 48 missing missing missing 36 F 2 45 0 18000.00 18000.00 37 M 2 34 0 50000.00 50000.00 38 M 0 65 0 200000.00 missing 39 M 1 58 1 50000.00 .0 40 F 1 missing 2 missing missing 41 F 0 19 1 3500.00 2000.00 42 F 0 22 1 55000.00 35000.00 43 F 0 30 1 60000.00 40000.00 44 F 0 35 1 300000.00 150000.00 45 F 1 40 4 800000.00 600000.00 46 F 1 42 4 3600.00 2000.00 47 F 1 48 4 333000.00 153000.00 48 M 1 50 3 4500.00 2500.00 49 F 1 55 2 56000.00 36000.00 50 M 0 47 1 55000.00 35000.00 51 M 1 45 0 100000.00 50000.00 52 M missing 33 0 60000.00 35000.00 53 F 1 25 1 505000.00 350000.00 54 M 0 68 2 4200.00 2200.00 55 F 0 72 2 missing .0 56 F 1 68 3 31000.00 20000.00 57 M 1 33 4 250.00 150.00 58 M 1 35 missing 45000.00 30000.00 59 F 1 56 3 25000.00 15000.00 60 F 0 65 3 23000.00 20000.00 **Note : Gender (0=female, male=1); Marital Status(0=unmarried, 1=married, 2=widowed), Age (in years); Education (0= less than high school, 1=high school, 2=college, 3=postgraduate, 4=professional degree); Missing (missing = -9)

Question
  1. Obtain the appropriate measure of dispersion for age and both income variables.

DATA

Subject

Gender

Marital Status

Age

Education

Household

Income

Personal Income

1

F

1

30

0

70000.00

40000.00

2

F

0

40

0

32500.00

32500.00

3

M

1

45

0

42000.00

.0

4

M

1

23

0

50000.00

50000.00

5

M

0

50

0

4500.00

4500.00

6

F

0

65

1

40000.00

22000.00

7

F

1

33

1

12000.00

12000.00

8

F

0

20

2

56000.00

52000.00

9

F

missing

30

3

17500.00

17500.00

10

M

1

Missing

4

44000.00

39000.00

11

M

2

58

1

missing

missing

12

M

2

32

2

10000.00

10000.00

13

M

1

35

3

missing

missing

14

F

2

23

4

100000.00

50000.00

15

F

2

34

1

64000.00

64000.00

16

M

1

26

2

Missing

missing

17

M

1

36

3

missing

missing

18

F

0

41

4

7500.00

5500.00

19

F

0

43

1

missing

missing

20

F

1

46

2

100000.00

missing

21

F

1

18

3

24000.00

24000.00

22

F

1

40

4

42000.00

22000.00

23

M

2

19

1

missing

missing

24

M

2

23

2

missing

missing

25

M

2

24

3

3500.00

3500.00

26

F

1

55

4

45000.00

22500.00

27

M

1

52

1

350000.00

.0

28

M

1

34

2

5000.00

5000.00

29

F

0

35

3

10000.00

310400.00

30

M

0

61

4

55000.00

42000.00

31

F

0

63

1

25000.00

25000.00

32

M

1

66

2

22000.00

22000.00

33

M

1

42

3

40000.00

40000.00

34

M

missing

47

4

40000.00

40000.00

35

F

1

48

missing

missing

missing

36

F

2

45

0

18000.00

18000.00

37

M

2

34

0

50000.00

50000.00

38

M

0

65

0

200000.00

missing

39

M

1

58

1

50000.00

.0

40

F

1

missing

2

missing

missing

41

F

0

19

1

3500.00

2000.00

42

F

0

22

1

55000.00

35000.00

43

F

0

30

1

60000.00

40000.00

44

F

0

35

1

300000.00

150000.00

45

F

1

40

4

800000.00

600000.00

46

F

1

42

4

3600.00

2000.00

47

F

1

48

4

333000.00

153000.00

48

M

1

50

3

4500.00

2500.00

49

F

1

55

2

56000.00

36000.00

50

M

0

47

1

55000.00

35000.00

51

M

1

45

0

100000.00

50000.00

52

M

missing

33

0

60000.00

35000.00

53

F

1

25

1

505000.00

350000.00

54

M

0

68

2

4200.00

2200.00

55

F

0

72

2

missing

.0

56

F

1

68

3

31000.00

20000.00

57

M

1

33

4

250.00

150.00

58

M

1

35

missing

45000.00

30000.00

59

F

1

56

3

25000.00

15000.00

60

F

0

65

3

23000.00

20000.00

**Note : Gender (0=female, male=1); Marital Status(0=unmarried, 1=married, 2=widowed), Age (in years); Education (0= less than high school, 1=high school, 2=college, 3=postgraduate, 4=professional degree); Missing (missing = -9)

Expert Answer

Want to see the step-by-step answer?

Check out a sample Q&A here.

Want to see this answer and more?

Experts are waiting 24/7 to provide step-by-step solutions in as fast as 30 minutes!*

*Response times may vary by subject and question complexity. Median response time is 34 minutes for paid subscribers and may be longer for promotional offers.
Tagged in
Math
Statistics

Other

Data

Graphical Methods

Measures

Related Statistics Q&A

Find answers to questions asked by students like you.

Q: Respond to all of the following questions (1-10) using the table to determine your answer. (Exhibit ...

A: In frequency distribution table, each data point is listed with its frequency, where frequency of a ...

Q: From past experience, Anna knows that the probability that her friend will take her to dinner in Gre...

A: Add 0.7 and 0.5 =0.7+0.5=1.2 Subtract 0.9 from 1.2 to obtain the probability that they will do both....

Q: how many different 10 letter words (real or imaginary) can be formed with this given letters X, G f ...

A: Given: Number of letters in a word = 10 The provided letters are X G f a m p g a g r

Q: Can you help me with D

A: Karl Pearson's correlation coefficient is given by :  rxy= cov(x,y)σx.σy

Q: Another researcher also decides to conduct a study to observe the association between smoking cessat...

A: Click to see the answer

Q: A company produces steel rods. The lengths of the steel rods are normally distributed with a mean of...

A: Given Information: The length of the steel rods are normally distributed with mean μ=143.5 and a sta...

Q: A consulting engineer is currently evaluating 4 projects for the U.S. government. The present worth ...

A: Calculate benefit-Cost ratio if the project are independent: Calculate Benefit-Cost ratio when proje...

Q: For random samples of size n=16 selected from a normal distribution with a mean of μ=75 and a standa...

A: Given data: The normally distributed population has mean and standard deviation as: μ=75σ=20 Sample ...

Q: The average student loan debt for college graduates is $25,650. Suppose that that distribution is no...

A: Given: Mean, μ= 25650 Standard deviation, σ= 14350 (b) Probability that college graduates has betwee...