You work at a mechanic shop. 40% of cars that come in have a flat tire. If there are 50 cars in the shop, what is the probability that more than 30 have a flat tire? Round to three decimal points.
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- QUESTION 11 ABC Store's data of the past 500 days shows that the online daily sales of a cooking pot of a special brand was between ten and eighteen pots. If of the 500 days, there were 100 days with daily sale of 15 pots, then what is the probability that the daily sale is 15 pots? (Put your result in a decimal number. Keep 3 digits after the decimal points.)When a pair of dice is tossed, the results may be any whole number from 2 through 12. In the game of craps one can win by tossing either a 7 or an 11 on the first roll. What is the probability of doing this?5.100 Tossing a die. You are tossing a balanced die that has probability 1/6 of coming up 1 on each toss. Tosses are independent. We are interested in how long we must wait to get the first 1. (a) The probability of a 1 on the first toss is 1/6. What is the probability that the first toss is not a 1 and the second toss is a 1? (b) What is the probability that the first two tosses are not 1s and the third toss is a 1? This is the probability that the first 1 occurs on the third toss. 4 (c) Now you see the pattern. What is the probability that the first 1 occurs on the fourth toss? On the fifth toss?
- Question in economics statistics: The probability that a management trainee will remain with a company is 0-60. The probability that an employee earns more than Dollar 10,000 per month is 0.50. The probability that an employee is a management trainee who remained with the company or who earns more than Dollar 10,000 per month is 0.70. What is the probability that an employee earns more than dollar 10,000 per month, given that he is a management trainee who stayed with the company?a. A company produces lightbulbs whose life follows a normal distribution, with mean 1200 hours and standard deviation 250 hours. If we choose a lightbulb at random, what is the probability that its lifetime will be between 900 and 1300 hours? (answer in three decimal places)What do we call the probability of a Type I error?
- The promoter of a football game is concerned that it will rain. She has the option of spending $14,040 on insurance that will pay $39,000 if it rains. She estimates that the revenue from the game will be $65,040 if it does not rain and $30,040 if it does rain. What must the chance of rain be if buying the policy has the same expected return as not buying it? Write expressions showing the expected returns if the promoter does and does not purchase the insurance, using p to represent the probability of rain. Without insurance, E(return) = With insurance, E(return) = The chance of rain must be _%.The probability that a visitor to an animal shelter will adopt a dog is 0.10. Out of 9 visits, what is the probability that at least (equal to or more than) 1 dog will be adopted? a. 0.3874 b. 0.6126 c. 0.5639 d. 0.1342A lottery has a grand prize of $1,000,000, 2 runner-up prizes of $100,000 each, 6 third-place prizes of $10,000 each, and 19 consolation prizes of $1,000 each. If a 4 million tickets are sold for $1 each, and the probability of any ticket winning is the same as that of any other winning, find the expected return on a $1 ticket. (Round your answer to 2 decimal places.
- 2. Calculate the probabilities that a. the battery life is between 7.5 and 8 hours; and b. the battery life is less than 8 hours. Are these two probabilities different? Explain why or why not. 3. Suppose that you randomly picked 100 iPhones and calculated the average battery life for these phones. Provide your best guess of the value of the average.The injured football player Bad news everyone! There is 1 second left in the game, and Tom Brady has injured himself. The matrices below depict the relative probabilities of winning givenan offensive and a defensive play call. (The row player is the New England Patriots and the column player is the opponent.) How much has the all star's home team probability of winning decreased due to the injury? Pass uny Patriots D Pass .4, .6 D Run .9,.1 .8,.2 .5,.5 Pass Run Opponent D Pass D Run .06, .94 .32, .68 .8,.2 .5,.5A new product is built and ready to launch. If successful, it will lead to a profit of $50,000. If it is unsuccessful, it will lead to a loss of $30,000. What probability of success would make the company indifferent about launching the product? Enter as a decimal (not a percentage).