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Chicken Delight claims that 90 percent of its orders are delivered within 10 minutes of the time the order is placed. A sample of 100 orders revealed that 82 were delivered within the promised time. At the .10 significance level, can we conclude that less than 90 percent of the orders are delivered in less than 10 minutes?
A sample proportion is calculated from a sample size of 394. How large of a sample would we need in order to decrease the standard error by a factor of 9?
Conduct and interpret a test to determine whether or not there is any difference in the final destination of each model of automobile. Interpret your findings.
At the 0.01 level, is the bank loan financially sound (should the bank ask for additional collateral)? What is the decision rule?
A sample of 20 pages was taken without replacement from the 1,591-page phone directory Ameritech Pages Plus Yellow Pages. On each page
Increasing confidence level will increase width of confidence interval. This is because the fact that increasing confidence interval will increase value of z(α/2), which will increase the size of standard error (z*s/√n).
According to Bienayme-Chebyshev rule, what percentages of these funds are likely to be within ±2 standard deviation of mean?
We are asked to test for independence between age (i.e., adult and teen) and drink preferences.
For the new study, the estimate should be within 1% of the population proportion with a 90 percent confidence level. What is the necessary sample size?
Research has shown that the people often see a correlation between two events when one does not really exist. Why do you think this happens?
Testout the significance of the sample correlation also develop regression equation with scatter plot. Calculate chi-square is less than the critical value
Inverse probability based on normal distribution - The data set has a bell-shaped distribution. Between what two prices do 68% of the houses lie?
Air-America has a policy of booking as many as 14 people on an airplane that can seat only 12. (Past studies have revealed that only 92% of the booked passengers actually arrive for the flight.)
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