In a certain year, 28.9% of all light vehicles were light trucks, 28.9% were SUVS, and 42.2% were cars. The probability that a severe side-impact crash would prove deadly to a driver depended on the type of vehicle he or she was driving at the time, as shown in the table. What is the probability that the victim of a deadly side-impact accident was driving an SUV? (Round your answer to four decimal places.) Light Truck .210 SUV .371 Car 1.000 Need Help? Watch It

In a certain year, 28.9% of all light vehicles were light trucks, 28.9% were SUVS, and 42.2% were cars. The probability that a severe side-impact crash would prove deadly to a driver depended on the type of vehicle he or she was driving at the time, as shown in the table. What is the probability that the victim of a deadly side-impact accident was driving an SUV? (Round your answer to four decimal places.) Light Truck .210 SUV .371 Car 1.000 Need Help? Watch It

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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A group of 12 students' cholesterol levels are tested. Suppose the probability of a student having a healthy cholesterol level is 0.30. What is the probability that exactly seven out of 12 students have healthy cholesterol levels? (Round your answer to three decimal places.)
In a certain year, the probability that a stock was in the Information Technology sector was 0.1302. The probability that the stock had a dividend yield of 2.00% or higher given that it was in the Information Technology sector was 0.2985. The probability that a stock had a dividend yield of 2.00% or higher given that it was not in the Information Technology sector was 0.4414. Find the probability that the stock was in the Information Technology sector given that it had a dividend yield of 2.00% or higher. ..... Let F be the event that a stock was in the Information Technology sector and E be the event that a stock had a dividend yield of 2.00% or higher. P(F) = .1302 and P (F') = .8698 The probability that the stock was in the Information Technology sector given that it had a dividend yield of 2.00% or higher is (Do not round until the final answer. Then round to four decimal places as needed.)
A 2012 study asked respondents about their confidence in banks and financial institutions as well as their confidence in major corporations. Each question allowed three responses: "a great deal, only some, or hardly any." The table to the right summarizes the responses. Find the probability a respondent has a great deal of confidence in major corporations given that he or she has only some confidence in banks and financial institutions. Confidence in Banks and Financial Institutions A Great Deal Only Some Hardly Any Total Confidence in Major Corporations A Great Only Hardly Deal Some Any 69 59 14 133 465 74 23 288 183 225 812 271 Total 142 672 494 1308 The probability a respondent has a great deal of confidence major corporations given that he or she has only some confidence in banks and financial institutions is (Round to four decimal places as needed.)
The probability of Macayle having a "green" day is 0.81, and the probability of Callahan having a "Green" Day is 0.92. Whats the probability of Macyale or Callahan having a Green Day?
Suppose 41% of the students in a university are baseball players. If a sample of 524 students is selected, what is the probability that the sample proportion of baseball players will be greater than 44%? Round your answer to four decimal places.
Brian is undecided as to whether to take a French course or a Russian course. He estimates that his probability of receiving an A grade would be 1/3 in a French course and 2/5 in a Russian course. If Brain decides to base his decision on the flip of a fair coin, what is the probability that he gets an A in Russian?
According to a 2009 Reader's Digest article, people throw away about 11% of what they buy at the grocery store. Assume this is the true proportion and you plan to randomly survey 90 grocery shoppers to investigate their behavior. What is the probability that the sample proportion does not exceed 0.09?
Please help with #80.
We are interested in analyzing data related to college football. Use S to denote the team is in the SEC and use W to denote a team has a winning season. The probability that a team is in the SEC in the data set is 5.5%. The probability that a team has a winning season is 52.5%. The probability that a team is in the SEC and has a winning season is 3.55%. What percentage of teams are in the SEC or had a winning season? b. What percentage of people teams are in the SEC and did NOT have a winning season? Given a team had a winning season, what is the probability that they are in the SEC? а. с.
A blood test for diabetes gives a positive result with a proportion of 0.44 when an individual has diabetes and a negative result with a proportion of 0.33 when they do not. Approximately a proportion of 0.14 of the population has diabetes. If a randomly chosen citizen tested negative, what is the probability that they actually have diabetes? Round your answer to five decimals.
In a certain year, the probability that a person in the United States would declare personal bankruptcy was 0.004. The probability that a person in the United States would declare personal bankruptcy and had recently experienced a "big three" event (loss of job, medical problem, or divorce or separation) was 0.002. What was the probability that a person had recently experienced one of the "big three" events, given that she had declared personal bankruptcy? (Round your answer to four decimal places.)
At a certain large company, the floor manager reviewing inventory and production. She ultimately comes to the decision that a product should be continued if it sold 150,000 times over the previous year. In addition, the product is considered “popular” if it receives at least 100 mentions by the local press over the past year. An analyst is hired to help with the analysis. The analyst determines that the probability of sales exceeding 150,000 was 0.331, the probability of 100 or more mentions was 0.162, and the probability that a product both sold 150,000 items, and was also ‘popular’ is 0.064. What is the probability that a randomly selected product either sold the requisite 150,000 items, or that it is ‘popular’? Again, phrase your answers in terms of probability variables (e.g. P(X) = ..., P(Y)=... etc.) If we are told that an item has indeed reached the threshold of 100 mentions in the press, what is the probability of it selling 150,000 times? Thought Question: Where would the…