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The proportion of defective items generated by a manufacturing process is believed to be 8%. In constructing a p-chart for the process, determine how large the sample size should be to avoid ending up with a negative lower control limit.
in a gallup poll of 1003 randomly selected subjects 373 said that they have a gun in their home. the accompanying
In airport luggage screening it is known that 3% of people screened have questionable objects in their luggage. What is the probability that a string of 15 people pass through successfully before an individual is caught with a questionable object
an average of 5 cars arrive per hour at a restaurant. assume that the number of cars arriving perhour follows poisson
a branch of a chain of large electronics stores is constructing an end of month inventory of the merchandise in stock.
the operator of a large production plant would like to estimate the mean amount of time a worker takes to assemble a
The sample variance was s^2=16.0. does the sample show sufficient reason to conclude that the population standard deviation is not equal to 3 at the 0.05 level of significance? use the p-value method.
A standard deviation of 100, what would be the cutoff score for selecting the top 10% of applicants, assuming that the standardized test is normally distributed?
How large a sample is needed to estimate the true proportion of covered children with 90% confidence with a confidence interval of .05.
The accompanying data is a subset of the data reported in the article "Synovial Fluid pH, Lactate, Oxygen and Carbon Dioxide Partial Pressure in Various Joint Diseases" (Arthritis and Rheumatism, 1971: 476-477).
[1] Assume that we collect a large (n> 30) simple random sample of annual incomes of adults in the United States. Because the sample is large, can we approximate the distribution of these incomes with a normal distribution? Why or why not? Expl..
While exploring data that was collected for an investigation of resources needed for software testing and improvement, you have found an outlier.
Who are also athletes but who are not regularly hit in the heads. Is this an example of an experimental or a non-experimental study? Why?
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