Discuss the bel;ow:
Column Question Key:
A= respondent number. (28 surveys were given out, 3 had not responded.)
B= Sex, Male or Female
C= How much money per month do you spend on leisure activities? (choices were $0-$50, $50-$100 and over $100)
D= What is your age? (5 categories: 18-25, 26-33, 34-41, 42-49 and 50-over)
E= How many hours, on average, do you have for leisure time?
F,G,H,I,J = List your top 5 leisure activities.
Categorical Data Sets:
1. Create a summary table for each data et. Expand them to include relative frequencies and percent frequencies.
2. Construct a pie chart for one of the sets (column C or D would be great).
3. Construct a bar chart for the other that wasn't chosen in #2.
4. Using C or D, construct a Pareto (sp?) diagram.
Numerical Data Sets:
1. Choose any one data set to be grouped into classes for a frequency distributon. Just be careful in selecting the width of your classes.
2. Construct a histogram using the frequency distribution you just developed.
3. Choose 2 data sets that might have a relationship to one another and explore that possibility with a scatter diagram.
4. Use a "stem and leaf" display to organize one of the data sets.
5. Calculate the mean, mode, median, variance and standard deviation for one of the data sets (your choice). If possible, show the numerical measures for the data you used for the histogram.
6. Develop a five-number summary you used in the "stem and leaf" display and comment on the symmetry of the data set.
| Number |
1 |
2 |
3 |
4 |
5a |
5b |
5c |
5d |
5e |
|
|
|
|
|
|
|
|
|
|
| 1 |
M |
0-50 |
34-41 |
12 |
family |
motorcycle |
home improvement |
family & friends |
Packers |
| 2 |
F |
50-100 |
26-33 |
15 |
tv |
sleep |
reading |
family & friends |
|
| 3 |
F |
0-50 |
26-33 |
5 |
|
|
|
|
|
| 4 |
F |
0-50 |
50-over |
2 |
casino |
disabled veterans |
work |
|
|
| 5 |
M |
50-100 |
34-41 |
8 |
running |
reading |
games with kids |
movies |
walks with wife |
| 6 |
M |
0-50 |
42-49 |
15 |
golf |
reading |
family & Friends |
Movies |
watching sports |
| 7 |
F |
0-50 |
34-41 |
1 |
watching kids |
Breakfast with sister |
yardwork |
bumbing with dad |
internet |
| 8 |
F |
50-100 |
26-33 |
10 |
family & friends |
Bowling |
Relaxing |
Movies |
Playing cards |
| 9 |
F |
50-100 |
42-49 |
6 |
bingo |
slots |
reading |
dining out |
music |
| 10 |
F |
0-50 |
26-33 |
15 |
family & friends |
dining out |
get hair done |
movies |
bowling |
| 11 |
|
|
|
|
|
|
|
|
|
| 12 |
M |
0-50 |
34-41 |
2 |
Newspaper |
Mowing lawn |
Taking family out to eat |
walking dog |
volunteer work |
| 13 |
F |
0-50 |
18-25 |
10 |
sleep |
going to bars |
music |
movies |
driving |
| 14 |
F |
50-100 |
18-25 |
20 |
boyfriend |
play with pets |
drive to country |
movies |
friends & family |
| 15 |
F |
0-50 |
26-33 |
5 |
Shopping |
TV |
Internet |
Reading |
Drawing |
| 16 |
F |
0-50 |
34-41 |
6 |
movies |
watch children (games0 |
dining out |
family & friends |
reading |
| 17 |
F |
over 100 |
34-41 |
1 |
reading |
cooking |
sewing |
swimming |
travelling |
| 18 |
F |
50-100 |
34-41 |
6 |
Friends |
Concerts |
music |
tv |
shopping |
| 19 |
F |
0-50 |
34-41 |
8 |
time with son |
reading |
tv |
shopping |
walks |
| 20 |
M |
0-50 |
34-41 |
10 |
|
|
|
|
|
| 21 |
F |
0-50 |
42-49 |
48 |
swimming |
reading |
crafts |
volunteering at school |
gardening |
| 22 |
F |
0-50 |
18-25 |
25 |
family & friends |
sleep |
computer |
eat |
tv |
| 23 |
|
|
|
|
|
|
|
|
|
| 24 |
F |
0-50 |
50-over |
5 |
|
|
|
|
|
| 25 |
F |
50-100 |
18-25 |
10 |
walking |
basketball |
party with friends |
shopping |
talking on telephone |
| 26 |
M |
over 100 |
26-33 |
6 |
paintball |
fishing |
shopping |
sight seeing |
gardening |
| 27 |
|
|
|
|
|
|
|
|
|
| 28 |
F |
50-100 |
26-33 |
20 |
family & friends |
working out |
shopping |
night on the town |
tv |