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The weekly mean income of a group of executives is $1000 and the standard deviation of this group is $100. The distribution is normal. What percent of the executives have an income between $1000 and
From the data bank, select a random sample of 30 individuals. Use the z test to test the hypothesis for IQ that u= 100. Use a = .05.
The probability that an American CEO can transact business in a foreign language is 20%. 10 American CEOs are chosen at random. What is the probability that at least two, but no more than five can tra
You are the VP for the cardiovascular service line at a hospital. A nurse manager on the step-down-unit tells you about a study she just read that she thinks could benefit her floor.
An article in a medical journal found that percutaneous nephrolithotomy (PN) had a success rate in removing kidney stones of 289 out of 350 patients. The traditional method was 78% effective. Is the
Find a 90% confidence interval for the difference between true average proportional stress limits for the Red oak and that for the Douglas fir. Interpret your result.
Find a 95% confidence interval for the mean concentration level in mg/ml for the active ingredient found in this product.
The Indiana Department of Transportation wishes to survey state residents to determine what proportion of the population would like to increase the statewide highway speed limit to 75 mph from 65 mp
The Indiana State Police wish to estimate the average mph being traveled on the Interstate Highways, which cross the state. If the estimate is to be within ±5 mph of the true mean with 95% co
A study is to be conducted on the proportion of homeowners who own at least two TV sets. How large a sample is required if we wish to be 90% confident that the error in estimating this quantity is w
The brightness of a television picture tube can be evaluated by measuring the amount of current required to achieve a particular brightness. A sample of 10 tubes results in an Xbar=317.2 microamps w
Complete a Pareto Chart using the following data. Include the chart (graph) and the data table and data information with Defect, Quantity, Running Quantity, Individual Percentage, and Running Percen
Suppose the lifetime of a particular appliance follows an exponential distribution with a mean of 10 years. What is the probability that the appliance will fail in less than 5 years?
What are some of the pitfalls when using regression equations in forecasting the future? Be specific.
Give three examples where descriptive statistics are misleading. What should be done about this problem?
In a manufacturing process, a quality control inspector selected three items at random. Items can be either defective or not defective, with equal probability. What is the probability of getting mor
Calculate the appropriate test statistic: What decision do we make? What this decision means in terms of this problem?
The shelf life of a particular type of battery is being studied. Twenty batteries are tested and the mean shelf life of the sample is Xbar=24.5 months. The estimated standard deviation is one month.
Test the research hypothesis that men use the Internet more hours than women, set alpha at .05. Would your decision have been different if alpha were set at .01?
To test the efficacy of a new cholesterol-lowering medication, 10 people are selected at random. Each has their LDL levels measured (shown below as Before), then take the medicine for 10 weeks, and
You are standing on a line and you are going to flip a coin 4 times. If a flip comes up heads you move one foot to the right; if it comes up tails you move one foot to the left. What is the expected
An economist wanted to investigate the relationship between office rents (the dependent variable) and vacancy rates. Accordingly, he took a random sample of monthly office rents and the percentage o
What is an estimate of the proportion of calls not resulting in a satisfactory outcome for the customer when the center is in control? Construct the upper and lower limits for a p chart for the proc
A consumer advocacy group recorded several variables on 140 models of cars. The resulting information was used to produce the following regression output that relates the city gas mileage (in mpg) a