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Assume that female students' heights are normally distributed with a mean given by µ = 64.2 in. and a standard deviation given by σ = 2.6 in.
1. If one female student is randomly selected, find the probability that her height is above 63.0 in.
2. If 100 female students are randomly selected, find the probability that they have a mean height greater than 63.0 in.
Consider a machine that fills soda bottles. The process has a mean of 15.9 ounces and a standard deviation of 0.06 ounces. The specification limits are set between 15.8 and 16.2 ounces. a) Compute and interpret the machine's Cp
At the .05 significance level, can we conclude that the mean waiting time is less than 3 minutes?
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.
Using one mean Z test to test whether or not to support the claim - Is there evidence that the average hours is below 6? Describe.
Given the following ordered data pairs (x, y), compute the value of the linear correlation coefficient r: (2,6) (3,0) (5,15) (5,5) (10,2).
Explain the difference between multiple independent variables and multiple levels of independent variables. Which is better?
Please share 3 real world examples of problems, which occurred due to the use of secondary data. Be specific about the consequences as well the secondary data used. You may use your own organization or research the net or literature for this one.
Where does the p-value come from for the spatial scan statistic used in SaTScan? Explain how Monte Carlo simulation is used to derive a p-value for a cluster.
Determine the 95% confidence interval for your estimate what data have you utilized as the basis of your predictions what suppositions have you made.
What is the percent difference between the two amounts relative to the amount for mathematics majors (round to the nearest percent)?
If standard deviation is 50 hours and α is equal to 0.01, what values for mean x will result in rejection of null hypothesis.
At the .01 significance level, can the manufacturer conclude that the price reduction resulted in an increase in sales?
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