Exam 5: Discrete Random Variables
Exam 1: An Introduction to Business Statistics54 Questions
Exam 2: Descriptive Statistics: Tabular and Graphical Methods90 Questions
Exam 3: Descriptive Statistics: Numerical Methods149 Questions
Exam 4: Probability135 Questions
Exam 5: Discrete Random Variables128 Questions
Exam 6: Continuous Random Variables150 Questions
Exam 7: Sampling and Sampling Distributions116 Questions
Exam 8: Confidence Intervals144 Questions
Exam 9: Hypothesis Testing148 Questions
Exam 10: Statistical Inferences Based on Two Samples132 Questions
Exam 11: Experimental Design and Analysis of Variance115 Questions
Exam 12: Chi-Square Tests96 Questions
Exam 13: Simple Linear Regression Analysis148 Questions
Exam 14: Multiple Regression122 Questions
Exam 15: Model Building and Model Diagnostics102 Questions
Exam 16: Time Series Forecasting150 Questions
Exam 17: Process Improvement Using Control Charts122 Questions
Exam 18: Nonparametric Methods97 Questions
Exam 19: Decision Theory90 Questions
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If p = .5 and n = 4,then the corresponding binomial distribution is
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A multiple-choice test has 30 questions and each one has five possible answers,of which one is correct.If all answers were guesses,find the probability of getting exactly four correct answers.
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Historical data shows that the average number of patient arrivals at the intensive care unit of General Hospital is 3 patients every 2 hours.Assume that the patient arrivals are distributed according to Poisson distribution. Determine the probability of at least 4 but no more than 8 patients arriving in a three-hour period.
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The Securities and Exchange Commission has determined that the number of companies listed in NYSE declaring bankruptcy is approximately a Poisson distribution with a mean of 2.6 per month. Find the probability that no more than one bankruptcy occurs next month.
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Whenever p = .5,the binomial distribution will _________ be symmetric.
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Determine the probability that a 3 will appear twice,if a fair die is rolled 10 times.
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Two characteristics/assumptions of the Poisson distribution include:
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The Post Office has established a record in a major Midwestern city for delivering 90% of its local mail the next working day.Calculate the standard deviation of the number delivered when 8 local letters are mailed.
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Of all individual tax returns,37% include errors made by the taxpayer.If IRS examiners are assigned randomly selected returns in batches of 12,find the mean and standard deviation for the number of erroneous returns per batch.
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If X has the probability distribution
compute the expected value of X.

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For a binomial process,the probability of success is 40% and the number of trials is 5. Find the P(X = 2).
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Historical data for a local steel manufacturing company shows that the average number of defects per standard sheet of steel is 2.In addition,the number of defects per unit is distributed according to Poisson distribution. Determine the standard deviation of the number of defective units for 32 sheets of metal.
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Consider the experiment of tossing a fair coin three times and observing the number of heads that result (X = number of heads). If you were asked to play a game in which you tossed a fair coin three times and were given $2 for every head you threw,how much would you expect to win on average?
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A fair die is rolled 10 times.What is the probability that an even number (2,4,or 6)will occur between 2 and 4 times?
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According to data from the state blood program,40% of all individuals have group A blood.If six (6)individuals give blood,find the probability At least 3 of the individuals have group A blood.
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For a binomial process,the probability of success is 40% and the number of trials is 5. Find the expected value.
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The equation for the variance of the binomial distribution is given by:
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If x is a Poisson random variable with a mean of 10,what is the probability that x is greater than 6?
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A large disaster cleaning company estimates that 30% of the jobs it bids on are finished within the bid time.Looking at a random sample of 8 jobs that is has contracted: Find the probability that x (number of jobs finished on time)is within one standard deviation of the mean.
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