The following data represent the number of drivers involved in a fatal crash in 2016 in various light and weather conditions Complete parts (a) through (e) below Click the icon to view the table of fatal crashes in various light and weather conditions (b) Determine the probability that a randomly selected fatal crash in 2016 occurred in daylight. P(Daylight) = 479 (Round to three decimal places as needed. (c) Determine the probability that a randomly selected fatal crash in 2016 occurred in normal weather and in daylight P(Normal and Daylight) = 420 (Round to three decimal places as needed.) (d) Determine the probability that a randomly selected fatal crash in 2016 occurred in normal weather or in daylight P(Normal or Daylight)= 917 (Round to three decimal places as needed) (e) Would it be unusual for a fatal crash in 2016 to occur while it is dark outside (without lighting) and raining? (For the purposes of this exercise, consider a probability less than 0.05 to be low.) It would be unusual for a fatal crash in 2016 to occur while it is dark outside (without lighting) and raining because the probability P(Raining and Dark without lighting) = 020 is low. (Round to three decimal places as needed) Why might this result be considered misleading? Select all that apply. erous, so it seems that the probability of a fatality should be A. Common sense indicates that a dark (without ting) road in the B. A better question would be "Among the drivers on the road when it is dark and raining, what proportion result in a fatality?" C. There are likely to be fewer drivers on the road at night, especially when it is raining. D. The result is not misleading

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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Solve for E)

Table of number of drivers involved in fatal crashes
Weather
Normal
Rain
Snow/Sleet
Other
Unknown
Light Condition
Dark, but
Daylight Lighted Dark
14,616
5669
8284
861
469
695
227
56
155
147
67
231
800
258
564
Dawn/Dusk
1249
80
18
33
79
Other
54
6
9
9
148
1677
Transcribed Image Text:Table of number of drivers involved in fatal crashes Weather Normal Rain Snow/Sleet Other Unknown Light Condition Dark, but Daylight Lighted Dark 14,616 5669 8284 861 469 695 227 56 155 147 67 231 800 258 564 Dawn/Dusk 1249 80 18 33 79 Other 54 6 9 9 148 1677
The following data represent the number of drivers involved in a fatal crash in 2016 in various light and weather conditions Complete parts (a) through (e) below.
Click the icon to view the table of fatal crashes in various light and weather conditions.
(b) Determine the probability that a randomly selected fatal crash in 2016 occurred in daylight.
P(Daylight) = 479 (Round to three decimal places as needed.)
(c) Determine the probability that a randomly selected fatal crash in 2016 occurred in normal weather and in daylight
P(Normal and Daylight) = 420 (Round to three decimal places as needed)
(d) Determine the probability that a randomly selected fatal crash in 2016 occurred in normal weather or in daylight
P(Normal or Daylight) = 917 (Round to three decimal places as needed.)
(e) Would it be unusual for a fatal crash in 2016 to occur while it is dark outside (without lighting) and raining? (For the purposes of this exercise, consider a probability less than 0.05 to be low.)
It would be unusual for a fatal crash in 2016 to occur while it is dark outside (without lighting) and raining because the probability P(Raining and Dark without lighting) = 020 is low
(Round to three decimal places as needed.)
Why might this result be considered misleading? Select all that apply.
A. Common sense indicates that a dark (without lighting) road in the rain is dangerous, so it seems that the probability of a fatality should be high
B. A better question would be "Among the drivers on the road when it is dark and raining, what proportion result in a fatality?"
C. There are likely to be fewer drivers on the road at night, especially when it is raining.
D. The result is not misleading
Transcribed Image Text:The following data represent the number of drivers involved in a fatal crash in 2016 in various light and weather conditions Complete parts (a) through (e) below. Click the icon to view the table of fatal crashes in various light and weather conditions. (b) Determine the probability that a randomly selected fatal crash in 2016 occurred in daylight. P(Daylight) = 479 (Round to three decimal places as needed.) (c) Determine the probability that a randomly selected fatal crash in 2016 occurred in normal weather and in daylight P(Normal and Daylight) = 420 (Round to three decimal places as needed) (d) Determine the probability that a randomly selected fatal crash in 2016 occurred in normal weather or in daylight P(Normal or Daylight) = 917 (Round to three decimal places as needed.) (e) Would it be unusual for a fatal crash in 2016 to occur while it is dark outside (without lighting) and raining? (For the purposes of this exercise, consider a probability less than 0.05 to be low.) It would be unusual for a fatal crash in 2016 to occur while it is dark outside (without lighting) and raining because the probability P(Raining and Dark without lighting) = 020 is low (Round to three decimal places as needed.) Why might this result be considered misleading? Select all that apply. A. Common sense indicates that a dark (without lighting) road in the rain is dangerous, so it seems that the probability of a fatality should be high B. A better question would be "Among the drivers on the road when it is dark and raining, what proportion result in a fatality?" C. There are likely to be fewer drivers on the road at night, especially when it is raining. D. The result is not misleading
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