Exam 7: A: Random Variables and Discrete Probability Distributions
Exam 1: What Is Statistics39 Questions
Exam 2: Graphical Descriptive Techniques I89 Questions
Exam 3: Graphical Descriptive Techniques II179 Questions
Exam 4: A: Numerical Descriptive Techniques202 Questions
Exam 4: B: Numerical Descriptive Techniques39 Questions
Exam 4: C: Numerical Descriptive Techniques18 Questions
Exam 5: Data Collection and Sampling76 Questions
Exam 6: Probability223 Questions
Exam 7: A: Random Variables and Discrete Probability Distributions225 Questions
Exam 7: B: Random Variables and Discrete Probability Distributions44 Questions
Exam 8: Continuous Probability Distributions200 Questions
Exam 9: Sampling Distributions150 Questions
Exam 10: Introduction to Estimation143 Questions
Exam 11: Introduction to Hypothesis Testing179 Questions
Exam 12: Inference About a Population149 Questions
Exam 13: Inference About Comparing Two Populations169 Questions
Exam 14: Analysis of Variance154 Questions
Exam 15: Chi-Squared Tests174 Questions
Exam 16: A: Simple Linear Regression and Correlation246 Questions
Exam 16: B: Simple Linear Regression and Correlation47 Questions
Exam 17: Multiple Regression156 Questions
Exam 18: Model Building137 Questions
Exam 19: Nonparametric Statistics171 Questions
Exam 20: Time-Series Analysis and Forecasting217 Questions
Exam 21: Statistical Process Control133 Questions
Exam 22: Decision Analysis121 Questions
Exam 23: Conclusion45 Questions
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Unsafe Levels of Radioactivity
The number of incidents at a nuclear power plant has a Poisson distribution with a mean of 6 incidents per year.
-The number of home insurance policy holders is an example of a discrete random variable
(True/False)
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Mobile Phones Sales
After analyzing sales data,the owner of a Mobile Phone store produced the following joint probability distribution of the number of iPhones (X)and Blackberries (Y)sold daily.
X 1 1 0.4 0.1 2 0.3 0.2
-{Mobile Phones Sales Narrative} Find the marginal probability distribution of the number of Blackberries sold daily.
(Essay)
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Retries
The following table contains the probability distribution for X = the number of retries necessary to successfully transmit a 1024K data package through a double satellite media.
0 1 2 3 ( ) 0.35 0.35 0.25 0.05
-If X and Y are independent variables,then their coefficient of correlation = 0.
(True/False)
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If n = 20 and p = 0.70,then the standard deviation of the binomial distribution is
(Multiple Choice)
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Which of the following about the binomial distribution is not a true statement?
(Multiple Choice)
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Number of Hamsters
The joint probability distribution of X and Y is shown in the accompanying table,where X denotes the number of hamsters that Quinn may have next year,and Y denotes the number of hamsters that her boyfriend,Jason,may have when she moves in with him next year.
X
1 1 0.4 0.1 2 0.3 0.2
-{Number of Hamsters Narrative} Calculate all possible values of the conditional probabilities,for X given Y and for Y given X.
(Essay)
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Sports Fans
Suppose that past history shows that 5% of college students are sports fans.A sample of 10 students is to be selected.
-{Sports Fans Narrative} Find the probability that exactly 1 student is a sports fan.
(Essay)
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The number of customers arriving at a department store in a 5-minute period has a binomial distribution.
(True/False)
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Retries
The following table contains the probability distribution for X = the number of retries necessary to successfully transmit a 1024K data package through a double satellite media.
0 1 2 3 ( ) 0.35 0.35 0.25 0.05
-If X and Y are two variables with , ,and COV(X,Y)= 14.703,then the coefficient of correlation = 0.78.
(True/False)
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Mobile Phones Sales
After analyzing sales data,the owner of a Mobile Phone store produced the following joint probability distribution of the number of iPhones (X)and Blackberries (Y)sold daily.
X 1 1 0.4 0.1 2 0.3 0.2
-{Mobile Phones Sales Narrative} Compare V(X)+ V(Y)to V(X + Y).What is your conclusion?
(Essay)
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Mobile Phones Sales
After analyzing sales data,the owner of a Mobile Phone store produced the following joint probability distribution of the number of iPhones (X)and Blackberries (Y)sold daily.
X 1 1 0.4 0.1 2 0.3 0.2
-{Mobile Phones Sales Narrative} Find the marginal probability distribution of the number of Blackberries sold daily.
(Essay)
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If X has a binomial distribution with n = 4 and p = 0.3,find the probability that X is at least one.
(Essay)
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Katie's Portfolio
Katie is given the following information about the returns on two stocks:
E(R1)= 0.10,E(R2)= 0.15,V(R1)= 0.0225,and V(R2)= 0.0441.
-{Katie's Portfolio Narrative} Compute the variance of the portfolio composed of 60% stock 1,and 40% stock 2,if the coefficient of correlation is 0.40.
(Essay)
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Car Sales
The joint probability distribution of variables X and Y is shown in the table below.Rebecca and Rachel are car salespeople.Let X denote the number of cars that Rebecca will sell in a month,and let Y denote the number of cars Rachel will sell in a month.
X 1 2 3 1 0.30 0.18 0.12 2 0.15 0.09 0.06 3 0.05 0.03 0.02
-{Car Sales Narrative} Calculate E(X + Y)directly by using the probability distribution of X + Y.
(Essay)
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Another name for the mean of a probability distribution is its expected value.
(True/False)
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Mobile Phones Sales
After analyzing sales data,the owner of a Mobile Phone store produced the following joint probability distribution of the number of iPhones (X)and Blackberries (Y)sold daily.
X 1 1 0.4 0.1 2 0.3 0.2
-{Mobile Phones Sales Narrative} Compute the variance of the number of Blackberries sold daily.
(Essay)
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Shopping Outlet
A shopping outlet estimates the probability distribution of the number of stores shoppers actually enter as shown in the table below.
0 1 2 3 4 ( ) 0.05 0.35 0.25 0.20 0.15
-{Shopping Outlet Narrative} Suppose Y = 2X + 1 for each value of X.What is the probability distribution of Y?
(Essay)
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A probability distribution for a single random variable is referred to as a(n)____________________ distribution.
(Essay)
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If X has a binomial distribution with n = 4 and p = 0.3,find P(X = 1).
(Essay)
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