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Megley cheese company is a small manufactuer of several different cheese products. One of the products is a chees spread that sold to retail outlets. Jason Megley must decide how many cases of cheese spread to manufacture each month. The probability that the demand will be six cases is 0.1, for 7 cases is 0.3, for 8 cases is 0.5, and for 9 cases is 0.1. The cost of every case is $45, and the price that Jason gets for each case is $95. Unfortunately, any cases not sold by the end of the month are of no value, due to spoilage. How many cases of cheese should Jason manufacture each month?
A snack food manufacturer selected a sample of 15 bags of pretzels off the assembly line and weighed their contents. If the sample mean is 10.0 and the sample standard deviation is 0.15
a) What statistical test should be used to analyze these data? b) Identify H0 and Ha for this study. c) Conduct the appropriate analysis d) Should H0 be rejected? What should the researcher conclude?
Determine the probability that between 5 and 10 minutes will pass between successive occurrences.
Generate three random observations from the uniform distribution between -10 and 40 by using the following random numbers: 0.0965,0.5692,0.6658
A report states that 46% of home owners have a vegetable garden. How large a sampl.e is needed to estimate the true proportion of home owners who have vegetable gardens to within 4 percentage points with 95% confidence?
At the 5% significance level, can the station conclude that the mean age of its listeners is not 25 yrs. Formulate and test the appropriate hypotheses. Use the critical value approach.
First National Bank and City National Bank are competing for customers who would like to open IRAs. 32 weeks are randomly selected for First National Bank and another 32 weeks are randomly selected for City National.
When planning the new baseball stadium for Washington DC, you are asked to find the break-even point for the number of luxury skyboxes built.
In chi-square goodness-of-fit test when there is close agreement between observed frequency and expected frequency, chi-square test value will be small.
In other words, could you generate two sets of random numbers (of length, say, 50) and set out the calculations in detail to determine whether the random variables are independent using chi-squared.
Construct a 98 percent confidence interval estimate of the difference between the two sample means (Please show work).
What is the 95% confidence interval for the difference between the mean prices of the two models?
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