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John Kim is the purchasing manager for your computer, Inc., a manufacture of network servers. A truckload of sheet metal has just arrived. Previous experience with the supplier suggests that the thickness of the sheet metal follows a normal distribution. A random sample of 23 sheets yields an average thickness of 0.192 inches with a standard deviation of 0.0187 inches.
a) Determine the degrees of freedom to be used in further analysis.
b) What is the point estimate that John uses for the thickness of a sheet?
c) Calculate a 95% confidence interval for the population mean for sheet metal thickness.
d) Calculate a 90% confidence interval for the population mean for sheet metal thickness.
e) This shipment will be used to fill an order for NASA to be used in the Space Station project. Their inspectors will be very concerned if the thickness of the sheets does not meet the specifications of 0.20 inches because of the weight calculations that need to be made for the project. Should John accept the shipment? Explain your reasoning clearly.
Quality Progress, February 2005, reports on improvements in customer satisfaction and loyalty made by Bank of America. A key measure of customer satisfaction is the response (on a scale from 1 to 10) to the question
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The Rathburn Manufacturing Company makes electric wiring, which it sells to contractors in the construction industry. Approximately 900 electric contractors purchase wire from Rathburn annually.
You select a random sample of 16 cities similar to Statesville in demographic and economic characteristics and collect the following data on FOOTAGE (in 10,000 square feet) and RETURN (rate of return as a %). a. Analyze the above output to determi..
A study of the amount of time it takes a mechanic to rebuild the transmission for a 1992 Chevrolet Cavalier shows that the mean is 8.4 hours and the standard deviation is 1.8 hours.
The sample data are summarized by the statistics n = 27, x = 4.6 years, s- 1.9 years.
Determine for each variable if it is the explanatory variable, the response variable, or whether it could be both.
Construct a frequency distribution and construct a histogram for the following data and use seven intervals, starting with 30-39.
Here are fifty observations on the weight of tea bags. Calculate the Standard Deviation and Variance.
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