### Analysis of Fatal Crashes in 2016: Light and Weather ConditionsThis section presents data on the number of drivers involved in fatal crashes in the year 2016, categorized by light and weather conditions. The information is sourced from the Fatality Analysis Reporting System.#### Table: Fatal Crashes by Light and Weather Conditions| Weather | \ Daylight \ | Dark, but Lighted | \ Dark \ | \ Dawn/Dusk \ | \ Other \ ||------------|--------------|----------------------|--------|---------------|-----------|| Normal | 12,307 | 5,875 | 8,151 | 1,183 | 65 || Rain | 875 | 497 | 681 | 87 | 8 || Snow/Sleet | 219 | 51 | 156 | 17 | 2 || Other | 125 | 54 | 220 | 40 | 9 || Unknown | 810 | 255 | 548 | 71 | 133 |- **Source:** Fatality Analysis Reporting System#### Questions for Analysisa) **Determine the probability that a randomly selected fatal crash occurred in normal weather.**b) **Determine the probability that a randomly selected fatal crash occurred in daylight.**c) **Determine the probability that a randomly selected fatal crash occurred in rain or in dark, but lighted. Is this unusual?**d) **Determine the probability that a randomly selected fatal crash occurred in normal weather or in daylight.**e) **Would it be unusual for a fatal crash to occur while it is dark and raining? Include all dark conditions.**### Explanation of FindingsTo answer these questions, a detailed look at the provided table is necessary. For instance, to find the probability of an event, the relevant number of occurrences will be divided by the total number of occurrences across all conditions. The evaluation of unusual occurrences would typically be based on comparative probabilities or additional statistical methods.### Graphical RepresentationThere are no explicit graphical representations in the provided image. However, summarizing the table data into bar graphs or pie charts could offer a visual understanding of the distribution of fatal crashes under various conditions.### Important NoteWhen studying such data, it’s crucial to understand the context and impact of various conditions on traffic safety and

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Answered: Source: Fatality Analysis Reporting…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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There is a 0.9991 probability that a randomly selected 29-year-old male lives through the year. A life insurance company charges $152 for insuring that the male will live through the year. If the male does not survive the year, the policy pays out $110,000 as a death benefit. Complete parts (a) through (c) below. Question content area bottom Part 1 a. From the perspective of the 29-year-old male, what are the monetary values corresponding to the two events of surviving the year and not surviving? The value corresponding to surviving the year is $negative 152−152. The value corresponding to not surviving the year is $109,848109,848. (Type integers or decimals. Do not round.) Part 2 b. If the 29-year-old male purchases the policy, what is his expected value? The expected value is $enter your response here. (Round to the nearest cent as needed.)
Suppose the probability of an IRs audit is 4.2 percent for U.S taxpayers who file form 1040 and who earned 100,000 or more. what are the odds that such taxpayer will be audited? what are the odds against such taxpayer being audited?
Šet background Clear frame 6. The figure below is a contingency table showing the counts of earned degrees from several colleges. The level of degree and gender of the degree recipient were tracked - use this table to answer the following questions: Bachelor's Master's Professional Doctorate otal Female 542 128 26 18 714 Male 438 165 38 20 661 Total 980 293 64 38 1375 (a) What is the probability that a randomly chosen person received a Bachelor's Degree? ( (b) What is the probability that a randomly chosen person received a Master's Degree given that they are Female- P(Masters Female)? teh EX
The results of CNN’s 2012 presidential election poll are given. Use the following table to answer the questions. Obama Romney Other/No Answer Male Voters 21% 25% 1% Female Voters 29% 23% 1% a) Find the probability that a polled voter voted for Obama. b) Find the probability that a polled voter voted for Romney OR is a female. c) What is the probability that a polled voter didn’t vote for Romney AND is not a female
• A) Given the data Pulse Rate (beats per minute) Mean St. Dev. Distribution Males 69.6 11.3 Normal Females 74.0 12.5 Normal a. Find the probability that a female has a pulse rate less than 60 beats per minute. b. Find the probability that a male has a pulse rate grater than 80 beats per minute. c. Find the probability that a m ale has a pulse rate between 65 beats per minute and 85 beats per minute. • B) Snow White. Disney World required that women employed as a Snow White character must have a height between 64 in and 67 in o Find the percentage of women meeting the height requirement o If the height requirements are changed to exclude the shortest 40% of women and the tallest 5% of women, what are the new height requirements?
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1. In a large metropolitan area, the probability that an individual owns a single-family home is 0.40. The probability that an individual in this same area owns a small business is 0.05. The probability that an individual living in this area does not own a single family home is Select one: a.0.04 b.0.10 c.0.95 d.0.03 e.0.60 2.If two cards are drawn without replacement from a deck of playing cards, find the probability that the second card is red, given that the first card was a heart. Select one: a.0.957 b.0.490 c.0.235 d.0.510 3.Of the 92 people who answered "yes" to a question, 5 were male. Of the 74 people that answered "no" to the question, 10 were male. If one person is selected at random from the group, what is the probability that the person answered "yes" or was male? Select one: a.0.614 b.0.054 c.0.645 d.0.09 4.Let A and B be events such that P(A) = 2/9, P(B) = 5/36, and P(A or B) = 19/72. Determine P(A and B). Select one: a.5/8…
5. Big babies: The Centers for Disease Control and Prevention reports that 25% of baby boys 6-8 months old in the United States weigh more than 20 pounds. A sample of 150 babies is studied. a. Approximate the probability that more than 40 weigh more than 20 pounds. b. Approximate the probability that 35 or fewer weigh more than 20 pounds. c. Approximate the probability that the number who weigh more than 20 pounds is G 20
A. What is the probability of a student chosen at random liking both Hannah Montana and suite life of Zach and Cody ?
Read the following prompt and complete 1.a, 1.b, 1.c
1) The question screenshot is attached down below just need final answer.
Lesson 11 Q7 What is the probability of an equally likely event? A.zero B.25% C.50% D.100%

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