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Suppose that 1% of all people have a particular disease. A test for the disease is 99% accurate. This means that a person who test positive for the disease has a 99% chance of actually having the disease, while a person who test negative for the disease has a 99% chance of not having the disease.
If a person tests positive for the disease, what is the chance (rounded to the nearest hundredth) that he or she actually has the disease?
I have worked the problem two ways and am receiving two different answers.
A researcher conducts an experiment comparing two treatment conditions and obtains data with 10 scores for each treatment condition.
Internal study by Technology Services department at Lahey Electronics disclosed company employees get the average of 2 emails per hour. Suppose arrival of these emails is approximated by Poisson distribution.
A radio station wants to know if residents in their area are in favor of a proposed tax increase. They invite listeners to call in to respond to the poll. 645 of the 800 who responded were against the tax.
What is the probability that more than 25% of the business travelers say that the reason for their most recent business trip was an internal company visit?
Assume we have a population of scores with a mean of 975 and a standard deviation of 15. Assume that the distribution is normal. Provide answers to the following questions:
a) What is the purpose of sampling? b) What are some concerns and dangers of sampling?
What is the probability that a roulette ball will come to rest on an even number other than 0 and 00?
The sample mean is 2.59 and the sample standard deviation is .66. Conduct the following test using 95% level of confidence.
In the Willow Brook National Bank waiting line system (see Problem 1), assume that the service times for the drive-up teller follow an exponential probability distribution with a service rate of 36 customers per hour or 0.6 customer per minute.
Is there evidence of violations of the usual ANOVA assumptions of equal variances and normal populations? Set up and perform appropriate TESTS at the α = 0.05 level of significance.
Determine the probability that none of the calculators will be defective?
Find out the probability that: (a) The amount requested is between $65,000 or more?
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