Number of Drivers in Fatal Crashes in 1990 Workhseet

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ntyt28054

Mathematics

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I’m stuck on a Statistics question and need an explanation.

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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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Explanation & Answer

Please let me know if you have any questions. Thanks!

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

Frequency

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

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:
The 20-24 age group is most likely.
Question: What happens to the chance of being in a fatal car accident as
Answer:
Overall, the chances decrease significantly.
Question: What is the overall shape or distribution of the data?
Answer:
The shape of the graph is decreasing.
Place answers in the space provided

Age Group

80-84

75-79

70-74

65-69

60-64

55-59

50-54

45-49

40-44

35-39

30-34

25-29

9000
8000
7000
6000
5000
4000
3000
2000
1000
0

20-24

Number of Fatal Crashes

Fatal Crashes by Age Group

the data set.
or the graph as possible.

s. (use appropriate labeling)
o get a clear picture of the trend.

h wider to see all months.

f being involved in a fatal accident??

oup is most likely.

being in a fatal car accident as you get older?

decrease significantly.

ribution of the data?...

naqlgurjkzna (13476)
University of Maryland

Anonymous
Really helpful material, saved me a great deal of time.

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