Exam 8: Continuous Probability Distributions

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

If the random variable X is exponentially distributed with parameter λ = 3,then the probability P(X ≥ 2)equals:

(Multiple Choice)
4.9/5
(34)

To find the probability for a uniform random variable you take the ____________________ times the ____________________ of its corresponding rectangle.

(Short Answer)
4.8/5
(29)

If the random variable X is exponentially distributed with parameter λ = 5,then the variance of X,σ2 = V(X)= 0.04.

(True/False)
4.8/5
(37)

In the standard normal distribution,z0.05 = 1.645 means that 5% of all values of z are below 1.645 and 95% are above it.

(True/False)
4.9/5
(43)

Suppose X has an exponential distribution with mean 2.Find f(x).

(Short Answer)
4.9/5
(37)

The shape of a The shape of a   <sup>2</sup> distribution is ____________________. 2 distribution is ____________________.

(Short Answer)
4.9/5
(30)

Which of the following is always true for all probability density functions of continuous random variables?

(Multiple Choice)
5.0/5
(37)

The variance of a Student t distribution approaches zero as the degrees of freedom approaches infinity.

(True/False)
4.7/5
(40)

The mean and variance of a The mean and variance of a   <sup>2</sup> distribution approach ____________________ as the degrees of freedom increase. 2 distribution approach ____________________ as the degrees of freedom increase.

(Short Answer)
4.8/5
(33)

Truck Salesman A used truck salesman in a small town states that,on the average,it takes him 5 days to sell a truck.Assume that the probability distribution of the length of time between sales is exponentially distributed. ​ ​ -{Truck Salesman Narrative} What is the probability that he will have to wait at least 8 days before making another sale?

(Short Answer)
4.7/5
(33)

A continuous random variable X has a uniform distribution between 5 and 15 (inclusive),then the probability that X falls between 10 and 20 is 1.0.

(True/False)
4.9/5
(22)

For a continuous random variable,the probability for each individual value of X is ____________________.

(Short Answer)
4.8/5
(40)

Subway Waiting Time At a subway station the waiting time for a subway is found to be uniformly distributed between 1 and 5 minutes. ​ ​ -{Subway Waiting Time Narrative} What is the probability density function for this uniform distribution?

(Short Answer)
4.8/5
(39)

Subway Waiting Time At a subway station the waiting time for a subway is found to be uniformly distributed between 1 and 5 minutes. ​ ​ -{Subway Waiting Time Narrative} What is the probability that the subway arrives in the first minute and a half?

(Short Answer)
4.8/5
(37)

The time required to complete a particular assembly operation has a uniform distribution between 25 and 50 minutes. a.What is the probability density function for this uniform distribution? b.What is the probability that the assembly operation will require more than 40 minutes to complete? c.Suppose more time was allowed to complete the operation,and the values of X were extended to the range from 25 to 60 minutes.What would f(x)be in this case?

(Essay)
4.9/5
(40)

What happens to the shape,mean,and variance of a Student t distribution as the degrees of freedom increase?

(Essay)
4.9/5
(31)

Use the F table to find the following probabilities. a.P(F6,14 > 2.85) b.P(F20,60 > 2.20) c.P(F12,25 > 2.51) d.P(F15,30 > 2.01)

(Short Answer)
4.8/5
(40)

Probability for continuous random variables is found by finding the ____________________ under a curve.

(Short Answer)
4.7/5
(36)

If the random variable X is exponentially distributed with parameter λ = 4,then the probability P(X ≤ 0.25),up to 4 decimal places,is

(Multiple Choice)
4.9/5
(35)

What number corresponds to t0.05,10?

(Multiple Choice)
4.8/5
(38)
Showing 201 - 220 of 224
close modal

Filters

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