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To find out whether living next to high-voltage power lines increases your chance of getting cancer, researchers selected various homes at random, determined if they were in 50 yards of high-voltage power line, and recorded whether anyone in home had cancer. They compared proportion of cancer cases in homes in 50 yards of high-voltage power line to proportion in home more than 50 yards from high-voltage power line. Is this observational study or experiment? Explain how do you know?
Use the t-distribution table to find the critical values for the indicated alternative hypothesis, level of significance, a and sample size n1 and n2. Assume that the sample are independent, normal and random. Ha: u1
The results of a recent poll on the preference of shoppers regarding two products are shown below.
Use empirical Rule to evaluate proportion of costs within 2 standards deviations of mean. Write down these limits.
Describe a business situation that you have had or might face that will benefit from the use of confidence intervals?
In a manufacturing process, the diameter of the steel rods is the product characteristic. A random sample of 25 steel rods is taken and sample mean is 8.88 cm.
Imagine you are the CEO of a local bank whose credit card holders engage in 1 billion credit card transactions per year; that the likelihood of a fraudulent transaction is 2%
Compute fraction of the employees cost between $1,500 and $2,000 per year? Evaluate percent that didn't have any dental expense.
Construct appropriate control charts for before and after introduction of the new pathway. Discuss process stability and the results.
If the researcher wants to test if the blood pressure measurements after the procedure are different from the blood pressure measurements before the procedure, what will the null and alternative hypotheses be? Treat the differences as (blood press..
Conduct a hypothesis test using H 0 : σ 2 = .009216 to see whether the sample data indicate that the variability in interest rates changed.
Bivariate data for the quantitative variables x and y are given in the attached. These data are plotted in a scatter plot. Sketch an approximation of at the least-squares regression line for the data.
An internal study by the Technology Services department at Lahey Electronics revealed company employees receive an average of 6.0 emails per hour. Assume the arrival of these emails is approximated by the Poisson distribution.
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