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You are the manager of a restaurant that delivers to college dormitory rooms. you have just changed delivery process in an effort to reduce the mean time between the order and completion of delivery from the current 25 minutes. a sample of 36 orders using the new delivery process yields a sample mean of 22.4 minutes and a sample standard deviation of 6 minutes.
a. Is there evidence at the 0.05 level of significance that the mean amount has been reduced below the previous population mean of 25 minutes using the six step hypothesis testing approach?
b. Compute the p-value and interpret its meaning.
A sample of 100 orders revealed that 82 were delivered within the promised time. At the 0.10 significance level, can we conclude that less than 90% of the orders are delivered in less than 10 minutes?
Identify the null hypothesis, alternative hypothesis, test statistic, p-value or critical value(s), conclusion about the null hypothesis, and final conclusion that addresses the original claim.
Which component of a time series is most likely to occur? Which component has a pattern that must be complete in a single year and repeat from year to year?
What are the differences between probability distribution functions and probability density functions? Why do we care?
What is the probability that the mean price for a sample of 30 service stations is within $.03 of the population mean?
Solve different inventory control problems using an appropriate OR method.
If the computed value of F is 5.01 and the critical value is 2.67, we would conclude that all the population means are equal. Unlike student’s t distribution, there is only one F distribution.
When we take the sample of 100 of these average is $500 and SD is $100. (a) Determine statement to make about range $300 to $700?
What is the probability that no requests for assistance are in the system? What is the average number of requests that will be waiting for service? What is the average waiting time in minutes before service begins?
You're given that the forecast for the current period of 70 turned out to be 6 units less than the actual demand. The forecast for the next period is 75.8.
Discuss an example from every day life, your professional experience, personal life or sports where two variables are positively correlated and why; discuss a second example where two variables are negatively correlated and why.
Construct a 90 percent confidence interval for the true mean weight. (b) What sample size would be necessary to estimate the true weight with an error of 0.02 grams with 90 percent confidence?
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