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In the population survey of patients in a rehabilitation hospital, the mean lengthof stay in the hospital was 12.0 weeks with the standard deviant of 1.0 week. Out of 100 patients, how many wouldyou expect to stay longer than 13 weeks?
A store selling newspapers orders only x=4 of a certain newspaper because the manager does not get many calls for that publication. If the number of requests per day follows a Poisson distribution with mean 3.
A local grocery store wants to estimate the mean daily number of gallons of milk sold to customers. Assume the number of gallons sold follows the normal distribution with a population standard deviation of 5.10 gallons.
First, describe in your own words (no direct quotes, please) what a dummy variable is and its purpose in regression analysis. Secondly, provide an example of where you might use a dummy variable from your own professional experience.
A probability value of .25 means that an event will occur:
Who inhaled oxytocin were more likely to give their money to a trustee compared to people who inhaled an inactive placebo. For this experimental study, identify the independent variable and the dependent variable.
Of the nine members of the board of trustees of a college, five agree with president on a certain issue. The president selects three trustees at random and asks for their opinions. What is the probability that at least two of them would agree with..
Observations are taken on net revenue from sales of Hughes, HNS, and satellite services to see if offering rebates is beneficial for the organization.
Solve the linear programming model by using the computer. Identify the sensitivity ranges for the objective function coefficients and explain what the upper and lower limits are.
Create a scatterlpot of P_RFM and P_HELM. If drawing plot by hand, use graph paper to make sure accuracy. Be sure you label axes. After you have created the scatterplot, consider its form and direction. Recognize outliers, if any.
The wheeling tire company produced a batch of 5000 tires that includes exactly 200 that are defective. if four tires are randomly selected what is the probability that they are all good?
A new car is designed to run a mean of at least 50 000 kilometers before its first tune-up. Tests with 30 cars show a sample mean of 49 500 kilometers and a sample standard deviation of 1000 kilometers.
A sample of 400 tickets has 72% 1's. What percentage of the entire box do you expect to be 1's? What is the standard error of your estimate?
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