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A multiple choice test consists of 25 questions with possible answers of a, b, c, d, and e. Estimate the probability that with random guessing, the number of correct answers is between 3 and 10 inclusive.
Supposes that the diameter of bearings are independent normally distributed random variables with mean µB = 1.005cm and variance σ²B = (0.003)² cm² . The diameter of shafts are independent normally distributed random variables having mean µB = 0.9..
Determine the probability that tire wears out before 70,000 miles?
Which of the following can be treated as binomial experiment? (a) Surveying 1200 registered voters to determine their preferences for the next president?
Suggest reasonable values for n and p (binomial) or mu (poisson) for your example. Calculate the mean and standard deviation of the distribution for your example.
The average burglary rate for a particular jurisdiction has been 311 per year with a standard deviation of 50. What is the likelihood that the number of burglaries in the next year is between 250 and 300?
The gambler is paid later as follows, depending on the number of winners he picked. What is his expected gain? Remember, a loss is a negative gain, and that the bookie keeps the gambler's $20.
Past studies indicate that only 85% of booked passengers show up for their flight. Find the probability that if the airline books 150 persons for a 140-seat plane, not enough seats will be available.
When only the value-added time is considered, the time it takes to build a laser printer is thought to be uniformly distributed between 8 and 15 hours.
Suppose we have a population of scores with a mean = 200 and a standard deviation = 10. Assume that the distribution is normal. Provide answers to the following questions:
Four movies are randomly selected. Their lenghts were 110, 96, 125, and 136 minutes. Find a 95% confidence interval of the average of the lenghs of the movie.
Incomes in the thousands of dollars were sampled in one region, they are as follows (1.5, 3.0, 4.2, 5.6, 2.6, 4.1, 0.9, 5.7, 5.4, 2.6) Assume the population is normal.
Computing a linear regression equation to predict the future values of the dependent variable Y - Linear relationships into a single multiple regression.
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