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A local politician wants an estimate of the proportion of the population who support her fiscal policies. She wants the estimate to be within .06 of the true proportion. Assume a 95 percent level of confidence. The politician's advisors estimated the proportion supporting her fiscal policy to be .60. How large of a sample is required?
Any value which is based on having measured a sample is called:
Where does the p-value come from for the spatial scan statistic used in SaTScan? How Monte Carlo simulation is used to derive a p-value for a cluster ?
Discuss the properties of a normal distribution. Why are there infinite possible normal distributions? Why should one assume that sample data represents a population distribution?
A cereal manufacturer seeks to test their newest product against a competitor's. A group of 100 children was asked to evaluate each brand, and then to express a preference. To guard against bias, neither the children, nor the technicians serving t..
Assume the data for the three groups are independent and the data are approximately Normal. The P-value is less than 0.01. The correct conclusion is that
Construct a 95 percent confidence interval for the difference in proportions for the two populations represented by these samples.
Set up a hypothesis test to validate this claim. Using a significance level of .01 to test this hypothesis, what is your decision rule
The following payoff matrix has been developed for the decision problem. What is the opportunity loss when "A" is Investment alternative and "Decline" is state of nature?
The amounts of money requested on home loan applications at Down River Federal Savings follow the normal distribution, with a mean of $70,000 and a standard deviation of $20,000.
The auto parts department of an automotive dealership sends out an average of 8 special orders daily. The number of special orders is assumed to follow a Poisson distribution.
What percentage of bags will weigh more than 16.4 ounces? What percentate of bags will weigh less than 15.92 ounces
In a study of the consumer's view of the economy, the probability that a consumer would buy a house during the year was 0.0013, and the probability that the consumer would buy a car during the year was 0.198. There was also a 0.0100 probability t..
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