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Suppose you are trying to measure the rate of (total) decay events per second R from a certain radioactive source using a detector hooked up to a counter. You put the source in front of the detector and let it count for 70 seconds, and find that it has measured 537 events in that 70 s interval. Then you remove the source to measure the background decay rate (due to noise in the detector and natural radioactivity), and suppose you now count 211 events in a 90 s interval. Based on these measurements, what is your best estimate of (while thinking about Poisson Statistics and propagation of errors):
(a) the decay rate R (of the source alone)
(b) the uncertainty in R.
Extrapolating this data by using the sum of squares method would further reveal any discretionary variances in relationship to the mean?
a random sample of 100 doctors was selected. Suppose you reject the null hypothesis. What conclusion can you draw?
The State Game Commission set on length, if it is desired that 91% of the fish caught may be kept by fisherpersons? There is no limit on size for trout that exceed the minimum.
Suppose that the incidence of MI is 0.005 per year among subjects who are actually take placebo and that aspirin prevents 20% of MIs
To be fair, the firm is randomly selecting two different employee names to 'win' the tickets. There are 6 secretaries, 5 consultants and 4 partners in the firm. Which of the following statements is not true?
A post office has a single line for customers waiting for the next available postal clerk. There are two postal clerks who work at the same rate.
Suppose 70% of kids who visit a doctor have a fever, and 25% of kids witha fever have sore throats. What's the probability that a kid who goes to the doctor has a fever and a sore throat?
Do the data provide sufficient evidence to conclude that the cream will improve the skin of more than 50% of women? Test using α=0.05 and the p-value method.
Suppose a large sample is selected (instead of just 10). About 95 percent of the predictions regarding sales would occur between what two values?
Does this mean immigrants tend to earn more than other people? Or does it mean immigrants improve a state's economy? If not, what could explain the correlation?
In the following example, why would Chebyshev's Theorem be used instead of the Empirical Rule?
What is the probability that the trainee class will consist entirely of men or women? Round your answer to the nearest thousandth.
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