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The National Study of the Changing Workforce conducted an extensive survey of 2958 wage and salaried workers on issues ranging from relationships with their bosses to household chores. The data were gathered through hour-long telephone interviews with a nationally representative sampe. In repsonse to the question "What does success mean to you?" 1538 responded "Personal satification from doing a good job." Let p for the population of all wage and salaried workers who would respond the same way to the stated question. Find a 90% confidence interval for p.
How large of a sample is needed if we wish to be 95% confident that the sample percentage of those equating success with personal satisfaction is within 1% of the poulation percentage?
HINT: Use p = 0.52 as a preliminary estimate.
What is a hypothesis test? Why do we need to use them to make decisions about relating sample results to the population; why can't we just make our decisions by the sample value?
What linear transformation will change sixth grade scores x into new scores xnew= a+bx that have the desired mean and standard deviation?
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Explain the rationale for the use of the Code of Measuring Practice when carrying our valuations for rental and insurance purposes and explain the principles involved in calculating the floor area of a retail shop unit for rent review purposes.
Define null and alternative hypothesis and, using sample info. Test manufacturer's claim at 0.01 (1%) level of significance.
you take a sample of 22 from a population of test scores and the mean of your sample is 60. a you know the standard
Test the hypothesis that the annual income of corporate trainers in areas of more then 500,000 are significantly more than those in areas of less than 100,000. Use the 5% level of risk.
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The average value observed was 1.2 mg. If the sample variance is 0.04 mg, compute a 99% confidence interval for the mean nicotine content.
A regression equation was computed to be Y= = 35 + 6X. The value of the 35 indicates that:
Suppose the FBI set of goal of 10% for breakins, and they want to see if the current data show they are below that mark. What are the appropriate null and alternative hypotheses?
How is the null hypothesis chosen (why is it null)? What is the importance of rejecting the null hypothesis in relation of the sample to the population?
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