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Average undergraduate cost for tuition, fees, room and board for all institutions in 2007 was $19,410. A random sample of costs in 2008 for 40 institutions indicated that the sample mean was $22,098. Given that the standard deviation for the population is $6050. If we test to see if this is evidence at the 1% significance level that the cost of attendance has increased what is the p-value?
A scatter diagram that plots the values of the residuals against the values of the dependent variable
What is the probability that the sample mean will be greater than M = 510. In symbols, what is p (M>510)?
The quality control inspector of a production plant will reject a batch of syringes if two or more defective syringes are found in a random sample of 8 syringes taken from the batch. Suppose the batch contains 1% defective syringes.
The company investigating the golf balls is not satisfied with the limited analysis that it has done. The managers have collected a good deal of data, but they are not sure how to look at them and interpret the output.
A decade-old study found that the proportion of high school seniors who felt that "getting rich" was an important personal goal was 67%.
Regression model results can be erroneous if multicollinearity is an issue. What causes multicollinearity? If the intercept is statistically significant, what does this tell you?
Standard deviation of 0.17 ounces, assuming the weight of cereal is normally distributed, determine the likelihood that a package will contain more than 12.2 ounces?
Assuming that a plane make a safe flight if at least one-half of its engines run, determine whether a 4-engine plane or 2-engine plane has the higher probability for a successful flight.
You are a realtor with a small business. You use a simple 2 variable linear regression analysis for quick first glance house price estimates using square footage of the house.
In a poll of 400 randomly selected voters, 204 of them support the strategist's candidate. At = .05, is the political strategist's claim warranted?
Random samples of size 64 are taken from a large population whose mean is 160 and whose standard deviation is 25. What is the mean of the sampling distribution of the sample mean?
Why is cumulative relative frequency distribution so much more informative that just relative frequency distribution? Use examples to explain these differences.
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