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The fill volume of cans produced by a certain machine is normally distributed with mean 12 oz and standard deviation .03 oz. [4] a. What proportion of cans contain less than 12 oz? [4] b. The process by means of which the mean was set to 12 oz can actually be adjusted through calibration. To what value should the mean be set so that 99% of the cans will contain 12 oz or more?
Test the significant difference between Chi-square for attributes
A study was conducted of the annual incomes of beginning probation officers in metropolitan areas of less than 100,000 population and in metropolitan areas having more than 500,000 population.
Estimate the mean height to within 3cm with 95% confidence. Assume the population standard deviation is about 12cm. What sample size should she use?
Identify the type of sampling (random, systematic, convenience, stratified, cluster) used when a sample of people who smoke is obtained as described below.
Conduct post hoc comparisons with the LSD method. Which groups differ significantly at α = 0.05?
If a time series is stationary without a linear trend or the seasonal component, which of the following forecasting methods may be suitable.
Its variable cost per pound of fertilizer is .15. Evergreen sells fertilizer for .40 per pound. Determine the monthly break-even volume for the company.
This sample group has errors with a standard deviation of 54.7ft. At the 5% level of significance, test that the new population has errors with a standard deviation equal to 43.7ft.
Given the hypothesis Ho: u=400, you conduct a sample of 12 observations and obtain a sample mean of 407 and a sample standard deviation of 6. Using a .01 significance level to test to see if you would reject Ho, what would be the value of your cri..
Normally distributed about a mean value of 580 with a standard deviation of 60. Determine what percentage of the students scored higher than 750 on the exam.
From an inventory of 48 cars being shipped to local automobile makers, 12 have defective radios installed. What is the probability that one particular dealership receiving 8 cars will find 2 radios being defective? Make assumptions if necessary.
Find the probability of committing a type I error.
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