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Health studies indicate that 5 percent of the population of Umen has a disease that is peculiar to that country. There is a diagnostic technique to detect the disease, but it is not very accurate. Historical evidence shows that if a person actually has the disease, the probability that the test will indicate the presence of the disease is .90. if the person does not have the disease, the probability that the test will still indicate that the disease is present is .
We randomly select a person from Umen and perform the test. The test results indicate that the disease is present. What is the probability that the person actually has the disease?A) .90B) .0450C) .1875D) .24
If 3 different factor levels show a lot of variation between levels this implies:
Determine the probability of choosing at random license plate which ends in the even number?
Given an infinite population with a mean of 75 and a standard deviation of 12, the probability that the mean of a sample of 36 observations, taken at random from this population
For three independent samples, each with n = 100, the respective sample proportions are 0.30, 0.35, and 0.25. Use the 0.05 level in testing whether the three population proportions could be the same.
Discuss what happens to the width of the confidence interval as the confidence level is increased. Does this seem reasonable? Explain.
1.an experiment was performed to investigate lifetime of a component exposed to high heat. three different oven types
Compose a 350 to 700-word summary report of your findings to the researcher and owner of the restaurant in which you Identify evidence, if any, of the researcher's claim. Perform a one- or two-tail test on the data provided,
The probability that Luis will pass his statistics test is 0.44. What is the probability that he will fail his statistics test?
The amount of income spent on housing is an important component of the cost of living. The total costs of housing for homeowners might include mortgage payments
Before 1918, in a random sample of 11 wolves spotted in the region, what is the probability that 8 or more were male?
How could the Central Limit Theorem apply in making a business decision? Try to provide an example from your current or future career.
Discuss the fields in which Poisson distribution is applied. Why does it matter whether a population of arrivals is limited or unlimited?
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