Age Children Education Happy Health Income Relationship Married Religious 66 4 11 2 1 Married 1 4 62 4 6 1 1 9 Widowed 0 4 61 4 12 2 1 14 Married 1 2 65 0 8 1 1 Never Married 0 28 1 12 3 2 17 Married 1 4 54 2 12 2 2 17 Married 1 4 54 3 10 3 2 21 Married 1 4 84 3 12 2 2 8 Widowed 0 4 51 2 9 2 2 9 Divorced 0 4 56 6 9 1 2 5 Separated 0 4 64 3 14 2 2 2 Married 1 3 53 2 12 2 2 13 Married 1 3 82 3 12 1 2 15 Married 1 3 56 2 12 2 2 18 Married 1 3 53 1 11 3 2 Married 1 3 78 1 12 2 2 3 Widowed 0 3 61 3 15 2 2 16 Widowed 0 3 68 2 12 2 2 16 Divorced 0 3 61 3 12 2 2 18 Divorced 0 3 37 0 12 2 2 Divorced 0 3 65 3 12 2 2 13 Married 1 2 54 0 16 3 2 24 Married 1 2 79 4 11 1 2 17 Widowed 0 2 50 3 14 1 2 18 Widowed 0 2 46 3 9 1 2 3 Divorced 0 2 42 1 13 1 2 9 Separated 0 2 36 4 9 1 2 11 Never Married 0 2 49 2 12 2 2 22 Married 1 1 29 0 12 1 2 22 Married 1 1 78 2 8 2 2 Married 1 1 24 0 12 1 2 16 Never Married 0 1 56 0 17 2 2 18 Never Married 0 1 35 4 18 3 3 19 Married 1 4 44 4 12 2 3 19 Married 1 4 49 2 14 3 3 21 Married 1 4 33 4 12 2 3 22 Married 1 4 82 3 18 3 3 25 Married 1 4 57 0 20 2 3 25 Widowed 0 4 48 1 13 2 3 11 Divorced 0 4 46 2 12 2 3 19 Divorced 0 4 64 1 12 2 3 18 Married 1 3 67 2 11 3 3 19 Married 1 3 46 2 12 3 3 19 Married 1 3 44 3 12 2 3 19 Married 1 3 63 3 12 2 3 19 Married 1 3 30 0 16 3 3 20 Married 1 3 44 3 16 3 3 20 Married 1 3 53 2 13 2 3 22 Married 1 3 35 2 18 2 3 23 Married 1 3 70 4 13 3 3 Married 1 3 54 2 12 2 3 Married 1 3 58 2 17 2 3 Married 1 3 81 4 12 2 3 Widowed 0 3 41 2 14 2 3 15 Divorced 0 3 66 2 12 2 3 16 Divorced 0 3 41 3 12 2 3 18 Divorced 0 3 41 2 12 2 3 21 Divorced 0 3 24 1 14 3 3 13 Never Married 0 3 38 0 12 2 3 13 Never Married 0 3 59 0 6 2 3 15 Never Married 0 3 38 0 17 1 3 15 Never Married 0 3 36 7 11 1 3 16 Never Married 0 3 19 0 13 2 3 17 Never Married 0 3 24 0 16 3 3 22 Never Married 0 3 57 0 12 2 3 18 Married 1 2 35 3 16 3 3 20 Married 1 2 52 2 11 2 3 21 Married 1 2 81 2 17 2 3 Married 1 2 49 1 12 2 3 Divorced 0 2 24 0 16 2 3 11 Never Married 0 2 40 0 16 1 3 18 Never Married 0 2 39 0 16 1 3 22 Never Married 0 2 24 0 14 3 3 12 Married 1 1 35 3 12 2 3 20 Married 1 1 38 0 12 2 3 21 Married 1 1 27 1 14 3 3 25 Married 1 1 51 0 11 3 3 13 Divorced 0 1 65 4 16 2 3 22 Divorced 0 1 29 0 12 2 3 15 Never Married 0 1 19 0 11 2 3 16 Never Married 0 1 33 0 12 3 3 17 Never Married 0 1 31 0 14 2 3 17 Never Married 0 1 19 0 13 2 3 23 Never Married 0 1 57 5 13 2 3 Never Married 0 1 25 0 12 2 3 Never Married 0 1 45 2 19 2 3 25 Married 1 23 0 16 2 4 17 Married 1 4 55 3 12 2 4 18 Married 1 4 36 2 11 3 4 19 Married 1 4 65 3 18 3 4 21 Married 1 4 66 2 16 2 4 23 Married 1 4 46 3 16 3 4 2 Divorced 0 4 50 2 12 2 4 15 Divorced 0 4 50 1 17 1 4 20 Separated 0 4 79 3 12 2 4 14 Married 1 3 28 0 16 1 4 15 Married 1 3 36 0 13 3 4 16 Married 1 3 68 5 12 2 4 16 Married 1 3 37 2 16 3 4 20 Married 1 3 65 2 14 3 4 22 Married 1 3 27 2 16 3 4 22 Married 1 3 31 1 18 3 4 22 Married 1 3 60 2 12 2 4 23 Widowed 0 3 63 2 17 2 4 18 Divorced 0 3 42 4 10 2 4 20 Divorced 0 3 44 2 16 2 4 21 Separated 0 3 37 3 12 2 4 23 Separated 0 3 20 0 13 2 4 10 Never Married 0 3 36 1 12 3 4 13 Never Married 0 3 43 0 20 1 4 20 Never Married 0 3 34 2 16 2 4 25 Married 1 2 61 0 16 3 4 17 Never Married 0 2 33 2 14 2 4 12 Married 1 1 46 1 17 2 4 19 Divorced 0 1 65 0 18 3 4 18 Never Married 0 1 24 0 12 2 4 20 Never Married 0 1 40 2 14 4 Married 1 59 2 8 2 10 Married 1 56 7 7 3 16 Married 1 38 3 16 3 16 Married 1 4 66 5 12 3 17 Married 1 4 54 1 12 2 21 Married 1 4 63 4 12 2 Married 1 4 74 4 0 2 9 Widowed 0 4 82 5 9 3 Widowed 0 4 62 2 12 2 8 Divorced 0 4 56 0 9 2 10 Divorced 0 4 45 2 16 2 15 Divorced 0 4 60 0 12 3 17 Never Married 0 4 26 0 13 3 20 Never Married 0 4 22 0 14 3 22 Never Married 0 4 47 1 10 2 4 Married 1 3 44 6 11 2 7 Married 1 3 67 5 7 2 13 Married 1 3 39 2 13 3 15 Married 1 3 58 3 16 2 19 Married 1 3 54 0 12 3 20 Married 1 3 52 2 12 2 20 Married 1 3 65 3 14 2 20 Married 1 3 59 2 18 2 20 Married 1 3 59 1 18 3 23 Married 1 3 44 2 20 2 25 Married 1 3 72 4 0 3 Married 1 3 75 1 14 3 Married 1 3 44 3 14 3 Married 1 3 54 3 14 2 Married 1 3 64 0 16 2 Married 1 3 34 3 8 1 Married 1 3 54 5 9 1 9 Widowed 0 3 79 4 12 2 16 Widowed 0 3 49 0 14 2 17 Widowed 0 3 48 2 12 2 3 Divorced 0 3 33 1 0 2 9 Divorced 0 3 41 4 13 2 4 Separated 0 3 53 6 12 3 21 Separated 0 3 46 0 9 1 11 Never Married 0 3 27 0 14 2 15 Never Married 0 3 32 0 14 2 20 Never Married 0 3 23 0 12 1 Never Married 0 3 42 2 12 2 9 Married 1 2 71 2 10 2 15 Married 1 2 30 1 16 2 15 Married 1 2 80 2 17 2 15 Married 1 2 31 2 13 3 20 Married 1 2 32 2 14 3 20 Married 1 2 33 1 16 2 22 Married 1 2 51 1 16 2 22 Married 1 2 53 2 16 2 22 Married 1 2 23 1 12 2 Married 1 2 77 2 12 2 21 Widowed 0 2 50 1 15 3 20 Divorced 0 2 72 2 16 1 20 Divorced 0 2 44 2 18 2 21 Divorced 0 2 64 2 16 2 24 Divorced 0 2 24 3 12 1 3 Never Married 0 2 27 0 14 1 11 Never Married 0 2 29 1 14 2 15 Married 1 1 48 2 16 3 25 Married 1 1 56 2 12 3 Married 1 1 80 4 14 3 19 Widowed 0 1 36 2 16 2 20 Divorced 0 1 21 0 14 3 9 Never Married 0 1 24 2 12 1 12 Never Married 0 1 46 0 19 1 14 Never Married 0 1 50 0 12 2 15 Never Married 0 1 40 1 16 2 18 Never Married 0 1 22 0 16 3 20 Never Married 0 1 29 1 12 2 Never Married 0 1 30 1 10 2 Never Married 0 1 50 2 12 2 Separated 0

Show your work (either using Excel or your SPSS statistical program output).

Using this data set in excel attached:

1.Identify which variables could be depicted with the following visualizations (hint: some variables could be visualized using more than one of the following):

a.Histograms

b.Bar charts

c.Box plots

d.Stem-and-leaf plots

e.Pie charts

f.Line charts

g.Frequency tables

2.Createoneof each of the above visualizations.