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1. Explain the difference between descriptive and prescriptive (optimization) models.
2. Describe how to use Excel data tables, scenario manager, and goal seek tools to analyze decision models.
3. Explain the purpose of Solver and what type of decision model it is used for.
4. What approaches can you use to incorporate uncertainty into decision models?
5. Explain the concept of risk analysis and how Monte Carlo simulation can provide useful information for making decisions.
6. Outline the process for using Crystal Ball to run a Monte Carlo simulation.
7. Explain the terms assumption, forecast, and decision as used in Crystal Ball.
What is probability of selecting 2 families neither had taxes prepared by H&R Block?
Survey on marital status to determine whether the data is qualitative or quantitative
The lifetimes of light bulbs of a particular type are normally distributed with a mean of 370 hours and a standard deviation of 5 hours. What percentage of bulbs has lifetimes that lie within 1 standard deviation of the mean on either side?
What was the cost for the 10 percent of employees who incurred the highest dental expense?
Explain the distribution of mean of samples of size 15.
Can and how would you apply basic probability concepts to facilitate business decision making? Critically discuss the difference between discrete and continuous probability distributions?
Make a decision using the Decision Rule approach at given α = 0.05.
Compute the difference scores for following data from repeated-measures study.
Problems on Sampling Variability and Standard Error and Confidence Intervals
What are some differences between discrete and continuous data? Is the measurement of money continuous or discrete? Explain. Can discrete data be analyzed using a normal distribution? Why or why not?
What is a 90% confidence interval for the mean monthly expenditure on gasoline per household in Slippery Rock?
A local consultant randomly selects a sample of 36 meals whose mean price is determined to be $8.75. Assuming that σ = $0.75, calculate a 95% confidence interval for the population mean price.
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