A car insurance company has determined that 6% of all drivers were involved in a car accident last year. Among the 14 drivers living on one particular street, 3 were involved in a car accident last year. If 14 drivers are randomly selected, what is the probability of getting 3 or more who were involved in a car accident last year?
A car insurance company has determined that 6% of all drivers were involved in a car...
show work A car insurance company has determined that 15% of all drivers were involved in a car accident last year. Among the 10 drivers living on one particular street, 3 were involved in a car accident last year. If 10 drivers are randomly selected, what is the probability of getting 3 or more who were involved in a car accident last year?
A car insurance company has determined that 4% of all drivers were involved in a car accident last year. Among the 13 drivers living on one particular street. 3 were involved in a car accident last year. If 13 drivers are randomly selected, what is the probability of getting 3 or more who were involved in a car accident last year? Round to three decimal places. O A 0.988 OB. 0.014 C. 0.602 OD. 0.012
Among 350 randomly selected drivers in the 16-18 age bracket, 314 were in a car crash in the last year. If a driver in that age bracket is randomly selected, what is the approximate probability that he or she will be in a car crash during the next year? Round to 3 decimal places as needed.
A car insurance company offers three types of insurance: liability, collision and comprehensive. The car insurance company has the following information on its customers insuring only one car: (i) 70% of the cars are insured under the liability. (i) There are twice as many comprehensive policies as collision policies. (ii) A comprehensive insured car is three times as likely to be involved in an accident in a given year as a liability insured car. (iv) A collision insured car is...
Among 300 randomly selected drivers in the 16 minus 18 age bracket, 238 were in a car crash in the last year. If a driver in that age bracket is randomly selected, what is the approximate probability that he or she will be in a car crash during the next year? Is it unlikely for a driver in that age bracket to be involved in a car crash during a year? Is the resulting value high enough to be of...
By examining the past driving records of drivers in a certain city, an insurance company has determined the (empirical) probabilities in the table to the right. Use the empirical) probabilities to complete parts (A) and (8) below. Totals Miles Driven per Year Less 10,000 - More Than 15,000 Than 10,000, Inclusive, 15,000, M M2 м. 0.10 0.15 0.20 0.10 0.20 0.25 0.20 0.35 0.45 Accident A No Accident A' Totals 0.45 0.55 1.0 (A) Find the probability that a city...
Insurance. By examining the past driving records of drivers in a certain city, an insurance company has determined the following (empirical) probabilities: Less than 10,000, M .05 .15 20 Miles Driven per Year 10,000 - 15,000 inclusive, M2 .10 More than 15,000, м. .30 .30 .60 Totals .10 .45 .55 1.0 20 Accident No Accident Totals a driver in this city is selected at random, what is the probability that a. He or she drives less than 10,000 miles per...
1: Suppose that you take a random sample of 300 people and find that 102 of them say they prefer to buy organic food whenever possible, even if it’s more expensive. What is the sample proportion of people who prefer to buy organic? What is the standard deviation of the sample proportion? Calculate a 95% confidence interval for the population proportion. Do you reject the null hypothesis: p = 40%? Do you reject the null hypothesis p = 30%? 2:...
Insurance. By examining the past driving records of drivers in a certain city, an insurance company has determined the following (empirical) probabilities: Less than 10,000, M .05 .10 .15 Miles Driven per Year 10,000 - 15,000 inclusive, M, .15 .10 25 More than 15,000, м. .30 .30 .60 Accident No Accident Totals Totals .50 .50 1.0 If a driver in this city is selected at random, what is the probability that a. He or she drives less than 10,000 miles...
15. Insurance. By examining the past driving records of drivers in a certain city, an insurance company has determined the following (empirical) probabilities: Miles Driven per Year 10,000- 15,000 10,000, inclusive, 15,000, M2 .15 .25 40 Less than More than Accident No Accident Totals M1 .10 .10 20 M3 .15 .25 40 Totals 40 60 1.0 If a driver in this city is selected at random, what is the probability that a. He or she drives less than 10,000 miles...