1. The waiting time at a bus stop is uniformly distributed between 1 and 12 minute. a. What is the probability density function? b. What is the probability that the rider waits 8 minutes or less? c. What is the expected waiting time? d. What is standard deviation of waiting time?
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- Time spent using e-mail per session is normally distributed, with u = 14 minutes and o = 3 minutes. Assume that the time spent per session is normally distributed. Complete parts (a) through (d). a. If you select a random sample of 25 sessions, what is the probability that the sample mean is between 13.8 and 14.2 minutes? 0.259 (Round to three decimal places as needed.) b. If you select a random sample of 25 sessions, what is the probability that the sample mean is between 13.5 and 14 minutes? 0.297 (Round to three decimal places as needed.) c. If you select a random sample of 100 sessions, what is the probability that the sample mean is between 13.8 and 14.2 minutes? 0.497 (Round to three decimal places as needed.) d. Explain the difference in the results of (a) and (c). Choose the correct answer below. The sample size in (c) is greater than the sample size in (a), so the standard error of the mean (or the standard deviation of the sampling distribution) in (c) is V concentrated…What is the formula for the probability density function (pdf) of a normal distribution with mean μ and standard deviation σ?company that owns a large number of grocery stores claims that customers who pay by personal check spend an average of $87 with a standard deviation of $22. Assume the amount spent by these customers is normally distributed. What is the probability that a customer spends more than $100? Express your answer as a decimal rounded to four places after the decimal point.
- In 2008, the per capita consumption of soft drinks in Country A was reported to be 19.28 gallons. Assume that the per capita consumption of soft drinks in Country A is approximately normally distributed, with a mean of 19.28 gallons and a standard deviation of 4 gallons. Complete parts (a) through (d) below. a. What is the probability that someone in Country A consumed more than 15 gallons of soft drinks in 2008? The probability isShow all work, including calculator commands 1. The annual per capita consumption of canned vegetables by people in the United States is normally distributed, with a mean of 39 pounds and a standard deviation of 4 pounds. (round to 4 decimal places) a. What is the probability that one randomly selected person consumes more than 42 pounds of canned vegetables? (round to 4 decimal places) b. How many pounds of canned vegetables would a person need to consume to be in the top 5% of annual consumption? (2 decimal places) Determine the probability that a random sample of 25 people has a mean consumption greater than 42 pounds (round to 4 decimal places)Motorola used the normal distribution to determine the probability of defects and the number of defects expected in a production process. Assume a production process produces items with a mean weight of 8 ounces. a. The process standard deviation is 0.10, and the process control is set at plus or minus 2 standard deviations. Units with weights less than 7.8 or greater than 8.2 ounces will be classified as defects. What is the probability of a defect (to 4 decimals)? In a production run of 1000 parts, how many defects would be found (to the nearest whole number)? b. Through process design improvements, the process standard deviation can be reduced to 0.08. Assume the process control remains the same, with weights less than 7.8 or greater than 8.2 ounces being classified as defects. What is the probability of a defect (to 4 decimals)? In a production run of 1000 parts, how many defects would be found (to the nearest whole number)? c. What is the advantage of reducing process…
- Plz complete solution. A local fast-food restaurant has a soda dispensing machine that employees use to automatically fill large soft drink cups. The dispenser is preset to dispense 18 ounces of fluid each time with a standard deviation of 0.75 ounces. The dispensing follows a normal distribution. Use this data to solve What is the probability that a cup will contain 16.5 ounces or more? What is the probability that a cup will contain 16.5 ounces or less? What is the probability that a cup will contain between 15.75 and 18.4 ounces? What is the probability that a cup will contain between 18.0 and 18.3 ounces? What is the probability that a cup will contain between 15.35 and 18.85 ounces? How many ounces would the lowest 4 percent of cups contain? 21. What is your best guess at the number of ounces a cup would contain?The tread life of Road Stone tires has a normal distribution with a mean of 35,000 miles and a standard deviation of 4,000 miles. a. What proportion of these tires has a tread life of more than 38,000 miles? b. What proportion of these tires has a tread life of less than 32,000 miles? c. What proportion of these tires has a tread life of between 32,000 and 38,000 miles? d. Draw a graph of the probability density function of tread lives, illustrating why the answers to parts (a) and (b) are the same and why the answers to parts (a), (b), and (c) sum to 1.The average income tax refund for the 2009 tax year was $2964. Assume the refund per person follows the normal probability distribution with a standard deviation of $974. Complete parts a through d below. a. What is the probability that a randomly selected tax return refund will be more than $1900? Resoui 0.8627 (Round to four decimal places as needed.) b. What is the probability that a randomly selected tax return refund will be between $1300 and $2300? ble Res Inc 0.2037 (Round to four decimal places as needed.) ase Optic 1) c. What is the probability that a randomly selected tax return refund will be between $3300 and $4000? nmunicatio (Round to four decimal places as needed.) Enter your answer in the answer box and then click Check Answer. 1 part remaining Clear All Aser Type here to search
- Motorola used the normal distribution to determine the probability of defects and the number of defects expected in a production process. Assume a production process produces items with a mean weight of 11 ounces. a. The process standard deviation is 0.10, and the process control is set at plus or minus 1 standard deviation. Units with weights less than 10.9 or greater than 11.1 ounces will be classified as defects. What is the probability of a defect (to 4 decimals)? In a production run of 1,000 parts, how many defects would be found (to the nearest whole number)? b. Through process design improvements, the process standard deviation can be reduced to 0.05. Assume the process control remains the same, with weights less than 10.9 or greater than 11.1 ounces being classified as defects. What is the probability of a defect (to 4 decimals)? In a production run of 1,000 parts, how many defects would be found (to the nearest whole number)? c. What is the advantage of reducing process…A normal distribution with a mean of O and a standard deviation of 1 is called O a probability density function. O a standard normal distribution. O an ordinary normal curve. none of the other statements is correct.Solve for (E)