Exam 4: Discrete Random Variables and Probability Distributions
Exam 1: Describing Data: Graphical247 Questions
Exam 2: Describing Data: Numerical326 Questions
Exam 3: Probability345 Questions
Exam 4: Discrete Random Variables and Probability Distributions257 Questions
Exam 5: Continuous Random Variables and Probability Distributions239 Questions
Exam 6: Sampling and Sampling Distributions147 Questions
Exam 7: Estimation: Single Population151 Questions
Exam 8: Estimation: Additional Topics109 Questions
Exam 9: Hypothesis Testing: Single Population164 Questions
Exam 10: Hypothesis Testing: Additional Topics103 Questions
Exam 11: Simple Regression217 Questions
Exam 12: Multiple Regression252 Questions
Exam 13: Additional Topics in Regression Analysis168 Questions
Exam 14: Analysis of Categorical Data241 Questions
Exam 15: Analysis of Variance192 Questions
Exam 16: Time-Series Analysis and Forecasting138 Questions
Exam 17: Additional Topics in Sampling110 Questions
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A random variable which takes on no more than a countable number of values is called a(n):
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D
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The following table displays the joint probability distribution of two discrete random variables X and Y.
-Determine the marginal probability distribution for X.

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Portfolio analysis and construction is conducted using probability distributions.
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On average,there are 3.2 defects in a sheet of rolled steel.Assume that the number of defects follows a Poisson distribution.
-What is the probability of having more than three defects in a roll?
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The probability distribution contains all the information about the probability properties of a random variable.
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Calculate the correlation between weekly take-home pay and amount spent weekly on recreational activities.
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The following table displays the joint probability distribution of two discrete random variables X and Y.
-Compute the correlation between X and Y.

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The expected value of a discrete random variable can be shown to be the weighted average over all possible outcomes.
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Which of the following can be used to approximate the binomial distribution when the number of trials n is large and the probability of success P is small such that nP ≤ 7?
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The binomial distribution is widely used in business applications.Why do you think this is the case?
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In a recent survey of 300 teenagers,62% of the teenagers indicated that they had been to a movie within the past month.75% of those teenagers who had seen a movie also had gone out to dinner in the past month,while only 64% of the teenagers who had not seen a movie had been out to dinner in the past month.Define the random variables as follows:
X = 1 if teenager had been to movie;X = 0 otherwise
Y = 1 if teenager had been out to dinner;Y = 0 otherwise
-Find the conditional probability function of X,given Y = 1.
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A company hires management trainees for entry level sales positions.Past experience indicates that only 10% will still be employed at the end of nine months.Assume the company recently hired six trainees.
-What is the probability that at least two of the trainees will still be employed at the end of nine months?
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The following table lists the relative frequency distribution of the number of calls coming into a call center each hour.If each call takes five minutes to process,what is the mean and standard deviation of the number of minutes the operators are answering questions each hour?


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The sum of the product of each value of a discrete random variable X and its probability is referred to as its:
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Suppose you know that the number of complaints coming into a phone center averages 4.2 every ten minutes.Assume that the number of calls follows the Poisson distribution.
-It has been estimated that 30% of all farms are family-owned.In a sample of 12 farms,what is the probability that exactly three farms are family owned?
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A cooler contains 14 drinks: 8 soft drinks and 6 beers.You select 3 drinks from the cooler.Let the random variable X be the number of soft drinks you get out of 3.Develop the probability distribution function of X.
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In general,the variance of the sum of two random variables is the sum of their variances.
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On average,you receive 2.6 pieces of junk mail a day.Assume that the number of pieces of junk mail you receive each day follows the Poisson distribution.
-What is the standard deviation of the number of pieces of junk mail you receive daily?
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The probability distribution function can be represented in a graph once the probabilities have been:
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