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Confidence interval for single proportion.
In 1992, the FAA conducted 86,991 pre-employed drug tests on job applicants who were to be engaged in safety and security-related jobs and found that 1,143 were positive.
a) Construct a 95% confidence interval for the population proportion of positive drug tests.
b) Why is the normality assumption not a problem, despite the very small value of p?
Here are the DMS odor thresholds for 10 untrained students:
Then explain your answer to someone who has never had course in statistics (but who is familiar with mean, standard deviation, and Z scores.)
Answer all of these questions using R Commander. Include all graphs, outputs from R Commander.
What is the likelihood the sample mean is greater than $22.50 but less than $25.00?
A sample of 40 decaffeinated-coffee drinkers showed a mean of 5.84 cups per day, with a standard deviation of 1.36 cups per day. Use the .01 significance level. Compute the p-value.
In testing the difference between two means from two independent populations, the sample sizes do not have to be equal to be able to use the Z statistic.
Suppose we wish to test the null hypothesis that there are no differences among the proportion of men and women who developed a rash. Evaluate the P-value of the chi-square test of this hypothesis.
What sample size must you take to be 96% confident that the results will be within $.75 of the true mean cost per call?
Is it reasonable to compute that the mean of the population is actually $15,000.
Determine the likelihood of accepting a lot which is 1% defective?
In optimal solution, determinethe critical path?
Perform hypothesis testing on one variable's data.
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