A restaurant managers records indicate that the population mean amount spend for dinner is $17.26 and the standard deviation is $4.20 per customer. suppose 36 customers are randomly selected and -X is the sample mean amount spent for dinner. Compute P(-x<$16.00)
A restaurant managers records indicate that the population mean amount spend for dinner is $17.26 and...
Consumers spend an average of $13.80 on a meal at a restaurant. Assume that the amount spent on a restaurant meal is normally distributed and the standard deviation is $2.00. What is the amount that a randomly selected customer must pay for a meal to be in the top 10% of expenditures for a restaurant meal? $17.77 $12.94 $15.12 $16.36
Suppose we would like to determine if the typical amount spent per customer for dinner at a new restaurant in town is more than $20. A sample of 49 customers, over a three-week period, was randomly selected and the average amount spent was $22.60. Assume that the standard deviation is known to be $2.50. Using a .05 level of significance, would we conclude the typical amount spent per customer is more than $20? After running the 6-step hypothesis test for...
Consumers spend an average of $13.80 on a meal at a restaurant. Assume that the amount spent on a restaurant meal is normally distributed and the standard deviation is $2.00. What is the probability that a randomly selected person spent between $9.00 - $11.50? 0.037 0.117 0.214 0.135
Consumers spend an average of $13.80 on a meal at a restaurant. Assume that the amount spent on a restaurant meal is normally distributed and the standard deviation is $2.00. What is the probability that a randomly selected person spent more than $10.00? 0.644 0.029 0.971 0.336
Suppose that a manager is interested in estimating the average amount of money customers spend in her store. After sampling 36 transactions at random, she found that the average amount spent was $37.85. She then computed a 99% confidence interval to be between $32.89 and $42.81. Which statement gives a valid interpretation of the interval? O There is a 99% chance that the mean amount spent by all customers is between $32.89 and $42.81. O The store manager is 99%...
In a certain management study, 15 randomly selected managers
were
found to spend a mean of 2.40 hours each day on paperwork with a
standard deviation of 1.30 hours.
Construct a 90% Confidence Interval for the mean time spent on
paperwork by all managers.
State the meaning of the interval in the context of the
problem.
Use the given data to construct a confidence interval at the
requested level:
x = 125, n = 317, confidence level 95% (Hint: Refer...
in a time use study, 20 randomly selected managers were found to spend a mean if 2.25 hours each day on paperwork. the standard deviation of the 20 scores is s =1.7 hours. construct he 98% confidence Interval for the population standard deviation. use x2- distribution for analysis.
The amount of money spent by a customer at a discount store has a mean of $100 and a standard deviation of $30. What is the probability that a randomly selected group of 50 shoppers will spend a total of more than $5,400? (Hint: The total will be more than $5,400 when the sample mean exceeds what value? Round your answer to four decimal places.) P(total > 5,400) =
2. Textbook, Problem 8.18, P. 284. The table below contains the amount that a sample of nine customers spent for lunch ($) at a fast-food restaurant: 4.88 5.01 5.79 6.35 7.39 7.68 8.23 8.71 9.88 Compute the sample mean and sample standard deviation of the amount spent for lunch. Construct a 99% confidence interval estimate for the population mean amount spent for lunch ($) at the fast-food restaurant, assuming the population is normally distributed. Interpret the interval constructed...
A random sample of 49 lunch customers was taken at a restaurant. The average amount of time the customers in the sample stayed in the restaurant was 45 minutes with a standard deviation of 14 minutes. a. Compute the standard error of the mean. b. Construct a 99% confidence interval for the true average amount of time customers spent in the restaurant. c. With a .99 probability, how large of a sample would have to be taken to provide a...