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A survey of shoppers is planned to determine what percentage use credit cards. Prior surveys suggest that 59% use credit cards. The required margin of error is 0.02 at 95% confidence. What is the minimum sample size required to assure that your sample proportion "p" will be within the required margin of error around the population proportion "p".
Use the traditional methods for testing hypotheses and show the results of all steps in the process.
Why is effective sampling important when performing a hypothesis test? What could happen if your sample is not appropriate to your study?
Discuss possible study designs. Which of the designs would we use to test our research hypothesis?
What is the expected value and variance for the number of contacts in eight attempts?
The estimate of the population proportion is to be within plus or minus .10, with a 99 percent level of confidence. The best estimate of the population proportion is .45. How large a sample is required?
Compute the 95% confidence interval for the population proportion of registered voters who favor the slow growth initiative.
He will then compare the season batting averages of group A (those with ballet training) and group B (those without ballet training) by comparing the mean of group A with the mean of group B.
The grade point averages for 10 randomly selected high school students are listed below. Assume the grade point averages are normally distributed.
Create a set of n observations from the binomial distribution with 1 trial and the event probability of 0.007, where n is your answer.
Compute the mean, median, and mode. Which of these measures of central tendency do you think most accurately describes the lifestyle variable you are looking at?
If the sum of the squared deviations about the regression line is SSE = 40.0, what is the coefficient of determination?
National average for 2-year leases is 30,000 miles. Select the suitable hypothesis.
Based on this sample information find out what percent of variation in starting salaries is described by GPA, and find out the equation that would forecast salary from GPA. Give a scatter plot.
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