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Question: A firm's office contains 150 PCs. The probability that a given PC will not work on a given day is 0.05.
a. On a given day what is the probability that exactly one computer will not be working?
b. On a given day what is the probability that at least two computers will not be working?
c. What assumptions do your answers in parts a and b require? Do you think they are reasonable? Explain.
Five hundred draws are made at random with replacement from a box of numbered tickets; 276 are positive. someone tells you that 50% of the tickets in the box show positive numbers.
In Illinois' Pick 3 game, you pay 50 cents to select a sequence of digits out of 1000 possibilities. If you select the same sequence that is drawn, you collect
question suppose you are testing h0 p .29 versus ha p ne .29. a random sample of 740 items shows that 207 have this
What historical connection can you make between the Allegory of the Cave and the Persian and Peloponnesian Wars (Athens and Sparta).
What is the bound on the error of estimation (or margin of error) for the 95% confidence interval for the population mean income?
Assume that a study of 500 randomly selected school bus routes showed that 480 arrived on time. Is it "significant" for a school bus to arrive late?
determine the selling price pv per 1000 maturity value of the bond. hint assume twice-yearly interest payments. round
sampling distributions the following data represent the running lengths in minutes of the winners of the academy award
How are the degrees of freedom computed for the independence test? Generally, how would the null and alternative hypotheses be stated for the chi-square independence test?
A researcher studies the average distance that 130 people who are living in U.S. urban areas walk each week: What is the size of the sample? Identify the population.
In 36 randomly selected seawater samples, the mean sodium chloride concentration was 23 cubic centimeters per cubic meter and the standard deviation was 6.7 cubic centimeters per cubic meter (cc/cm).
in a study to estimate the proportion of residents in a city that support the construction of a new bypass road in the
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