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Deb currently has a product line of 10 specialty pizzas. The data above shows overall population data for each line of pizza weight in ounces, cost of a slice to make in dollars, calories per slice, and fat grams per slice.
Deb knows that many of her customers are weight conscious. She'd like to know if there a relationship between fat grams per slice and calories per slice. Is there?
What is the coefficient of correlation? Is it significant at .01? How do you know?
How much of the variation in calories can be explained by the number of fat grams per slice?
Build a predictive model for number of calories using fat grams. If a pizza has 15 grams of fat, how many calories should it have, using your model?
Can you think of any other correlations that might help Deb in her business planning? Are there any variables that seem to be missing?
Show all the steps of your hypothesis test including a) the claim being tested , b) the null and alternative hypothesis, c) the test statistic, d) the p value, e) initial conclusion, and f) a final conclusion about the original claim.
We know that the population variance is 16. Estimate the mean number of admissions per 24-hour period with a 95% confidence interval.
The average cost per night of a hotel room in New York City is $273 (SmartMoney, March 2009). Assume this estimate is based on a sample of 45 hotels and that the sample standard deviation is $65.
What percent of healthy young adults has osteoporosis by the WHO criterion? Suppose that the standard deviation is the same as for young adults. What percent of this older population has osteoporosis?
Formulate the appropriate null and alternative hypotheses to test the manufacturer's belief. Using the sample mean of 99.2, compute a 90% confidence interval. Show the computation, and interpret in one sentence the interval you compute.
If three systems are installed, what is the probability that at least one of the systems will detect the attack? Would you recommend that multiple detection systems be used? Explain.
A Correlation matrix (correlation, coefficients and probability level under the hypothesis rho= 0) for a company's sales force (age, years of service, and current sales) is given below. Comment.
The 46 computer mice inspectors at a particular factory can only inspect 45 mice per hour. Does the company have reason to believe that these inspectors are slower than average at α = 0.10?
Hypothesis test for dependent samples and Has satisfaction with MHMR services changed since the January survey
Show the graph of the probability density function for flight times. What is the probability that the flight will be no more than 5 minutes late?
If a simple random sample of 50 players was taken, what is the probability that the sample mean will exceed $210,000?
For a study that consists of personal interviews with participants (rather than mail or phone surveys), explain why simple random sampling might be less practical than some other sampling methods.
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