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Question: Every 10 years, the United States takes a census. The census tries to count every resident. There are two forms, known as the "short form," answered by most people, and the "long form," slogged through by about one in six or seven households chosen at random. According to the Census Bureau (www.census.gov),". each estimate based on the long form responses has an associated confidence interval."
Suppose the Census Bureau decided to report on areas from which only 50 long forms were completed. What effect would that have on a 95% confidence interval for, say, the mean cost of housing? Specifically, which values used in the formula for the margin of error would change? Which would change a lot and which would change only slightly?
For a regional hospital in a metropolitan area, what are some of the internal failure and external failure costs? How might they be reduced?
From the magazine's findings, and assuming a normal distribution, determine the 95% confidence interval for the population standard deviation of the force required to depress the firm's aspirin bottle caps.
At the .10 significance level you will test to determine if there has been an increase in selling time. Assuming we are using a t test what will be the critical value"?
The article can be on Descriptive Statistics, Probability and the Normal Distribution, Sampling and Sampling Distributions, Regression Analysis, or Time Series Forecasting.
As a construction engineer for a city, you are responsible for ensuring that the company that is providing gravel for a new road puts as much gravel in each truckload as they claim to.
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Polling disclaimer. A newspaper article that reported the results of an election poll included the following explanation.
Determine marginal probability distributions of X and Y . Compute conditional probability P ( Y = 2 | X = 1)
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