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Could you please tell in what situation the maentl hanszel test is more appropriate than using chi square. I believe maentl hanszel is used when a confounding variable is present thus allowing for adjustment. But when the confounding variable is taken into account after randomization of patients how is stratification performed?
A driver hired at the beginning of a year can be used to meet the current year's requirements and is paid full salary for the current year.
Conclude that is there a difference in the two amounts?
Scenario 2: If the standard deviation is to remain at 0.05 ounces, what mean does the filling machine need to have to achieve this goal.
Based on the information above, estimate the mean and standard deviation of the weight of the pain killer in each bottle.
A PC manufacturer claims that no more than 2% of their machines are defective. In a random sample of 100 machines, it is found that 5% are defective. The manufacturer claims this is a fluke of the sample.
An assignment of probability must obey which of the following? The probability of any event must be a number between 0 and 1, inclusive.
She concluded that encouraging teachers to be properly attired will increase academic performance. Do you agree or disagree with her conclusion? Support your answer.
To interpret, there were 50 days on which no credit applications were received, 77 days on which only one application was received, and so on. Would it be reasonable to conclude that the population distribution is Poisson with a mean of 2.0. Use the ..
What is his expected cash balance at the end of the following May and what is the probability that his balance will be negative in one or more month?
Their monitoring plan will take a random sample of 5 days sales per month and use the sample mean sales to identify shops that are under-performing. Establish the lower limit sales such that only 5% of the shops would have a sample sales mean belo..
A random sample of doctors was taken suppose the test statistic is z= -1.95. can we conclude that h0 should be rejected at the 1) a=.10 b) a=0.05 c) a= 0.01 level?
Suppose a random sample of 50 architects and engineers is selected. How likely is it that the random sample contain five or fewer women in these positions.
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