Exam 7: Random Variables and Discrete Probability Distributions

arrow
  • Select Tags
search iconSearch Question
flashcardsStudy Flashcards
  • Select Tags

In the Poisson distribution,the mean is equal to the ____________________.

Free
(Short Answer)
4.9/5
(27)
Correct Answer:
Verified

variance

A(n)____________________ random variable is one whose values are uncountable.

Free
(Short Answer)
5.0/5
(32)
Correct Answer:
Verified

continuous

The binomial probability distribution is a discrete probability distribution.

Free
(True/False)
4.7/5
(35)
Correct Answer:
Verified

True

To find the probability that X is at most 10,you should find the probability that X is 10 or ____________________.

(Short Answer)
4.9/5
(42)

If the probability of success p remains constant in a binomial distribution,an increase in n will increase the variance.

(True/False)
4.8/5
(40)

In a Poisson distribution,the variance and standard deviation are equal.

(True/False)
4.7/5
(34)

The number of customers arriving at a department store in a 5-minute period has a Poisson distribution.

(True/False)
4.8/5
(37)

The number of days that a microcomputer goes without a breakdown is an example of a(n)____________________ random variable.

(Short Answer)
4.9/5
(37)

Which of the following is not a characteristic of a binomial experiment?

(Multiple Choice)
4.8/5
(34)

Evaluate the following binomial coefficients. a. Evaluate the following binomial coefficients. a.     b.     c.     d.  b. Evaluate the following binomial coefficients. a.     b.     c.     d.  c. Evaluate the following binomial coefficients. a.     b.     c.     d.  d. Evaluate the following binomial coefficients. a.     b.     c.     d.

(Essay)
4.8/5
(28)

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. 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.   ​ ​ -{Mobile Phones Sales Narrative} Compute the variance of the number of iPhones sold daily. ​ ​ -{Mobile Phones Sales Narrative} Compute the variance of the number of iPhones sold daily.

(Short Answer)
4.8/5
(26)

In a bivariate distribution,the sum of all the ____________________ probabilities must equal 1.

(Short Answer)
4.9/5
(40)

The number of accidents that occur at a busy intersection in one month is an example of a Poisson random variable.

(True/False)
4.9/5
(30)

A portfolio expected return E(Rp)of 3 stocks with the quantities w1 = .40,w2 = .50,w3 = .10,E(R1)= .10,E(R2)= .15,and E(R3)= .02 is equal to 0.117.

(True/False)
4.8/5
(39)

Golfing Store The joint probability distribution of variables X and Y is shown in the table below,where X is the number of drivers and Y is the number of putters sold daily in a small golfing store. Golfing Store  The joint probability distribution of variables X and Y is shown in the table below,where X is the number of drivers and Y is the number of putters sold daily in a small golfing store.   ​ ​ -{Golfing Store Narrative} Calculate E(X + Y)and V(X + Y)directly by using the probability distribution of X + Y. ​ ​ -{Golfing Store Narrative} Calculate E(X + Y)and V(X + Y)directly by using the probability distribution of X + Y.

(Short Answer)
4.9/5
(43)

Suppose that the number of buses arriving at a Depot per minute is a Poisson process.If the average number of buses arriving per minute is 3,what is the probability that exactly 6 buses arrive in the next minute?

(Short Answer)
4.9/5
(37)

The covariance of two variables X and Y:

(Multiple Choice)
4.8/5
(38)

Which of the following is a discrete random variable?

(Multiple Choice)
4.8/5
(37)

If X and Y are independent variables,then their coefficient of correlation ρ = 0.

(True/False)
4.7/5
(30)

Shopping Outlet A shopping outlet estimates the probability distribution of the number of stores shoppers actually enter as shown in the table below.  Shopping Outlet  A shopping outlet estimates the probability distribution of the number of stores shoppers actually enter as shown in the table below.   ​ ​ -{Shopping Outlet Narrative} What did you notice about the mean,variance,and standard deviation of Y = 2X + 1 in terms of the mean,variance,and standard deviation of X? ​ ​ -{Shopping Outlet Narrative} What did you notice about the mean,variance,and standard deviation of Y = 2X + 1 in terms of the mean,variance,and standard deviation of X?

(Essay)
4.9/5
(33)
Showing 1 - 20 of 283
close modal

Filters

  • Essay(0)
  • Multiple Choice(0)
  • Short Answer(0)
  • True False(0)
  • Matching(0)