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Confidence Interval & Sample Size

Please see attached files.

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The page number from the attached pdf (Chapter 9) where the appropriate formula or guidance is located on how to solve the problem.

The steps involved in reaching the solution.
The solution.

1 In the business research scenario, the population is identified as 150 employees.
How many employees would need to respond to the survey to achieve a confidence interval of ±5 at the 95% level of confidence?
Note for #1: The formula you need to do this problem is not introduced in attached text.
2 Only 50% (75 of 150) of those invited agreed to participate. What is the new confidence interval? Is this good enough? Why or why not?

3 As a condition of employment, military applicants must pass a drug test. Last month, of the
440 applicants tested 28 failed. Develop a 99 percent confidence interval for the proportion of
applicants that fail the test. Would it be reasonable to conclude that more than 10 percent of the
applicants are now failing the test each month?

4 In addition to the testing of applicants, Kadena randomly tests members throughout the year.
Last year in the 800 random tests conducted, 11 employees failed the test. Would it be
reasonable to conclude that the incidence of drug abuse is less than 2 percent for the total
population?

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Solution Summary

The solution provides step by step method for the calculation of confidence interval and sample size for population proportion. Formula for the calculation and Interpretations of the results are also included. Interactive excel sheet is included. The user can edit the inputs and obtain the complete results for a new set of data.

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