The following frequency distribution represents the number of drivers in fatal
crashes in 1990, by age, for males aged 20 to 84 years.
(National
Highway Traffic Safety Administration)
Age
20-24
25-29
30-34
35-39
40-44
45-49
50-54
55-59
60-64
65-69
70-74
75-79
80-84
Frequency
8067
6195
6274
5130
4631
3636
3021
2332
1606
1341
1273
1179
902
1. Construct the appropriate (2) graphs for the data set.
2. Make sure you change as many options for the graph as possible.
Do not just use the “Default Settings”
3. Be sure to include any Titles or Axis Labels. (use appropriate labeling)
4. Change the vertical or horizontal scales to get a clear picture of the tren
If applicable
You may need to make the graph wider to see all months.
Question: What age group is at most risk of being involved in a fatal accid
Answer:
Question: What happens to the chance of being in a fatal car accident as
Answer:
Question: What is the overall shape or distribution of the data?
Answer:
Place answers in the space provided
f being involved in a fatal accident??
being in a fatal car accident as you get older?
In a national survey conducted by the Center for Disease Control in order to determine health-risk
behaviors among college students, college students were asked, “How often do you wear seatbelts
when riding in a car driven by someone else?
Response
Never
Rarely
Sometimes
Most of the Time
Always
Frequency
125
324
552
1257
2518
1. Construct the appropriate (2) graphs for the data set.
2. Make sure you change as many options for the graph as possible
Do not just use the “Default Settings”
3. Be sure to include any Titles or Axis Labels. (use appropriate lab
Question: How would you respond to this question?
Answer:
Question: What is the overall shape or distribution of the data?
Answer:
Place answers in the space provided
der to determine health-risk
often do you wear seatbelts
e?
graphs for the data set.
y options for the graph as possible.
Default Settings”
r Axis Labels. (use appropriate labeling)
ond to this question?
hape or distribution of the data?
space provided
The following data represent the stock price for Walt Disney
Corporation at the end of each month from January 2000 to
November 2001.
Date
Closing Price
Jan-00
Feb-00
Mar-00
Apr-00
May-00
Jun-00
Jul-00
Aug-00
Sep-00
Oct-00
Nov-00
Dec-00
Jan-01
Feb-01
Mar-01
Apr-01
May-01
Jun-01
Jul-01
Aug-01
Sep-01
Oct-01
Nov-01
33.7
33.4
40.5
42.9
41.5
38.1
37.9
38.3
37.6
35.2
28.4
28.6
30.1
30.6
28.3
29.9
31.3
28.6
26.1
25.2
18.4
18.4
20.3
1. Construct the appropriate graph for the data.
2. Make sure you change as many options for the graph as possible.
Do not just use the “Default Settings”
3. Be sure to include any Titles or Axis Labels. (use appropriate labeling)
4. Change the vertical or horizontal scales to get a clear picture of the trend.
If applicable
You may need to make the graph wider to see all months.
Question: Would you have wanted to Invest in Disney Stock on January 2000?
Answer:
Question: What would have happened to your investment over the 23 months?
Answer:
Question: If you purchased stock on Jan 2000, when should you have sold them to ga
Answer:
Place answers in the space provided
ld you have sold them to gain the most profit?
An experiment is conducted to measure if there is a relationship between a lightbulbs
intensity and the distance from the light source.
Distance (meters)
Intensity
1
1.1
1.2
1.3
1.4
1.5
1.6
1.7
0.28645
0.25212
0.20547
0.17462
0.17424
0.14521
0.1145
0.10243
1.8
1.9
0.09231
0.06321
2
0.07342
1. Draw a scatter diagram for the data.
2. Make sure you change as many options for the graph as possible
Do not just use the “Default Settings”
3. Be sure to include any Titles or Axis Labels. (use appropriate lab
4. Change the vertical or horizontal scales to get a clear picture of
If applicable
Question: Is there a correlation between the two variables?
Answer:
Question: If you answered YES to the question above, What type
Answer:
Place answers in the space provided
o the question above, What type of correlation is there?
Research performed at NASA and led by Dr. Emily R Morey-Holton measured the lengths of
the right humerus and right tibia in 11 rats that were sent into pace on Spacelab Life Sciences
2.
Right Humereous
Right Tibia
24.8
24.59
24.59
24.29
23.81
24.87
25.9
36.05
35.57
35.57
34.58
34.2
34.73
37.38
26.11
26.63
37.96
37.46
26.31
26.48
37.75
38.5
1. Draw a scatter diagram for the data.
2. Make sure you change as many options for the graph as possi
Do not just use the “Default Settings”
3. Be sure to include any Titles or Axis Labels. (use appropriate l
4. Change the vertical or horizontal scales to get a clear picture
If applicable
Question: Is there a correlation between the two variables?
Answer:
Question: If you answered YES to the question above, What typ
Answer:
Place answers in the space provided
ured the lengths of
acelab Life Sciences
y options for the graph as possible.
Default Settings”
r Axis Labels. (use appropriate labeling)
tal scales to get a clear picture of the trend.
between the two variables?
o the question above, What type of correlation is there?
space provided
x
y
2.2
3.7
3.9
4.1
2.6
4.1
2.9
3.9
4
1.4
2.8
1.5
3.3
3.6
4.7
4.9
1. Draw a scatter diagram for the data.
2. Make sure you change as many options for the graph as possible.
Do not just use the “Default Settings”
3. Be sure to include any Titles or Axis Labels. (use appropriate labeling)
4. Change the vertical or horizontal scales to get a clear picture of the trend.
If applicable
Question: Is there a correlation between the two variables?
Answer:
Question: If you answered YES to the question above, What type of correlation
Answer:
Place answers in the space provided
What type of correlation is there?
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