The wait times in line at a grocery store are roughly distributed normally with an average wait time of 7.6 minutes and a standard deviation of 1 minute 45 seconds. What is the probability that the wait time is less than 7.9 minutes? What will the probability look like before you find the values on the z table? (Hint: to get something off the z table it must be in the form P (z< +a))
P (z> 0.67)
P (z<0.4)
P (z< 0.57)
P (z< 0.17)
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The wait times in line at a grocery store are roughly distributed normally with an average...
The wait times to see a doctor at a large clinic are normally distributed with a mean of 68.2 minutes and a standard deviation of 14.8 minutes. If a simple random sample of 25 patients is selected, find the probability that the sample mean wait time is more than 75 minutes. Round to four decimal places.
Andrew finds that on his way to work his wait time for the bus is roughly uniformly distributed between 6 minutes and 14 minutes. One day he times his wait and write down the number of minutes ignoring the seconds. 0.12 0.1 0.08 0.06 0.04 0.02 13 6 7 8 9 10 11 12 Wait time measured in minutes rounded down What is the probability that Andrew waits for 9 minutes? P(X = 9) = Preview What is the probability...
The wait time for a table at a particular restaurant are normally distributed, with a mean of 25 minutes. Seventy-five percent of the parties who dine there wait less than 30 minutes for a table. What is the standard deviation of wait times at the restaurant?What percent of the parties wait for more than 15 minutes?
1.Wait-Times: There are three registers at the local grocery store. I suspect the mean wait-times for the registers are different. The sample data is depicted below. The second table displays results from an ANOVA test on this data with software. Wait-Times in Minutes x Register 1 2.0 2.0 1.1 2.0 1.0 2.0 1.0 1.3 1.55 Register 2 1.8 2.0 2.2 2.6 1.8 2.1 2.2 1.7 2.05 Register 3 2.1 2.1 1.8 1.5 1.4 1.4 2.0 1.7 1.75 ANOVA Results...
There are three registers at the local grocery store. I suspect the mean wait-times for the registers are different. The sample data is depicted below. The second table displays results from an ANOVA test on this data with software. Wait-Times in Minutes x Register 1 2.0 2.0 1.1 2.0 1.0 2.0 1.0 1.3 1.55 Register 2 1.8 2.0 2.2 1.9 1.8 2.1 2.2 1.7 1.96 Register 3 2.1 2.1 1.8 1.5 1.4 1.4 2.0 1.7 1.75 ANOVA Results F...
The time spent waiting in the line is approximately normally distributed. The mean waiting time is 5 minutes and the standard deviation of the waiting time is 1 minute. Find the probability that a person will wait for more than 3 minutes. Round your answer to four decimal places.
The time spent waiting in the line is approximately normally distributed. The mean waiting time is 5 minutes and the standard deviation of the waiting time is 2 minutes. Find the probability that a person will wait for more than 1 minute. Round your answer to four decimal places.
The wait time (after a scheduled arrival time) in minutes for a train to arrive is Uniformly distributed over the interval [0, 12]. You observe the wait time for the next 100 trains to arrive. Assume wait times are independent. Part a) What is the approximate probability (to 2 decimal places) that the sum of the 100 wait times you observed is between 565 and 669? Part b) What is the approximate probability (to 2 decimal places) that the average of the...
(1 point) Afactory's worker productivity is normally distributed. One worker produces an average of 73 units per day with a standard deviation of 23. Another worker produces at an average rate of 68 units per day with a standard deviation of 20. A. What is the probability that in a single day worker 1 will outproduce worker 2? Probability = B. What is the probability that during one week (5 working days), worker 1 will outproduce worker 2? Probability =...
The interarrival times ∆t, for customers into the store are assumed to be all normally distributed with mean μ = 8 minutes and standard deviation σ = 2 minutes, so that ∆t ∼ N(μ, σ2) = N(8, 4), in units of minutes. a. Compute Pr(∆t < 0) and use this to argue that it is unnecessary to truncate ∆t so that it is always non-negative. b. Compute the probability that the 16th and the 9th customer arrive within 55 minutes...