In a certain store, there is a .02 probability that the scanned
price in the bar code scanner will not match the advertised price.
The cashier scans 844 items.
(a-1) What is the expected number of mismatches?
(Round your answer to the nearest whole
number.)
Expected number
(a-2) What is the standard deviation? (Use
your rounded number for the expected number of mismatches for the
calculation of standard deviation. Round your final answer to 4
decimal places.)
Standard deviation
(b) What is the approximate normal probability of
at least 10 mismatches? (Round the z-value to 2
decimal places. Use Appendix C-2 to find probabilities. Round your
final answer to 4 decimal places.)
Probability
(c) What is the approximate normal probability of
more than 22 mismatches? (Round the z-value to 2
decimal places. Use Appendix C-2 to find probabilities. Round your
final answer to 4 decimal places.)
Probability
In a certain store, there is a .02 probability that the scanned price in the bar...
In a certain store, there is a 0.05 probability that the scanned price in the bar code scanner will not match the advertised price. The cashier scans 850 items. (a-1) What is the expected number of mismatches? (Round your answer to the nearest whole number.) Expected number (a-2) What is the standard deviation? (Use your rounded number for the expected number of mismatches for the calculation of standard deviation. Round your final answer to 4 decimal places.) Standard deviation...
You may need to use the appropriate appendix table or technology to answer this question.Assume a binomial probability distribution has p = 0.70and n = 400.(a)What are the mean and standard deviation? (Round your answers to two decimal places.) mean standard deviation (b)Is...
a) Find the value of the probability of the standard normal variable Z corresponding to the shaded area under the standard normal curve. (Round your answer to four decimal places. You may need to use the appropriate table in the Appendix of Tables to answer this question.) P(Z > 1.07) = b) Find the value of the probability of the standard normal variable Z corresponding to the shaded area under the standard normal curve. (Round your answer to four decimal...
A normal population has a mean of 81 and a standard deviation of 6. You select a sample of 36. Use Appendix B.1 for the z-values. Compute the probability that the sample mean is: (Round the z-values to 2 decimal places and the final answers to 4 decimal places.) a. Less than 79. Probability b. Between 79 and 83. Probability c. Between 83 and 84. Probability d. Greater than 84. Probability
1 The life (in years) of a certain machine is a random variable with probability density function defined by f(x) = 5 + 2 vx for x in (1, 25). 136 A. Find the mean life of this machine. The mean life is approximately years. (Round to two decimal places as needed.) B. Find the standard deviation of the distribution. The standard deviation is approximately years. (Round the final answer to two decimal places as needed. Use the expected value...
Use Table C.1 in the Appendix to find the value of the probability of the standard normal variable Z corresponding to the shaded area under the standard normal curve. (Round your answer to four decimal places.) P(Z > 1.47) x Enter a number. 1.47
Suppose that only 0.1% of all computers of a certain type experience CPU failure during the warranty period. Consider a sample of 2,000 computers. (a) What are the expected value and standard deviation of the number of computers in the sample that have the defect? (Round your standard deviation to two decimal places.) expected value computers standard deviation computers (b) What is the (approximate) probability that more than 4 sampled computers have the defect? (Round your answer to three decimal...
The weight of people in a small town in Missouri is known to be normally distributed with a mean of 177 pounds and a standard deviation of 28 pounds. On a raft that takes people across the river, a sign states, “Maximum capacity 3,528 pounds or 18 persons.” What is the probability that a random sample of 18 persons will exceed the weight limit of 3,528 pounds? Use Table 1. (Round “z” value to 2 decimal places, and final answer...
Question 1) Assume that the heights of American men are normally distributed with a mean of 69.2 inches and a standard deviation of 3.2 inches. What is the probability that a randomly selected man will be between 5'9" and 6'1" tall? (Round your answer to four decimal places.) Question 2) Answer the question for a normal random variable x with mean μ and standard deviation σ specified below. (Round your answer to one decimal place.) μ = 36 and σ...
A study of long-distance phone calls made from General Electric Corporate Headquarters in Fairfield, Connecticut, revealed the length of the calls, in minutes, follows the normal probability distribution. The mean length of time per call was 3.8 minutes and the standard deviation was 0.70 minutes. Use Appendix B.3. What is the probability that calls last between 3.8 and 4.5 minutes? (Round your z value to 2 decimal places and final answer to 4 decimal places.) What is the probability that...