Exam 8: Continuous Probability Distributions
Exam 1: What Is Statistics17 Questions
Exam 2: Types of Data, Data Collection and Sampling18 Questions
Exam 3: Graphical Descriptive Techniques Nominal Data17 Questions
Exam 4: Graphical Descriptive Techniques Numerical Data65 Questions
Exam 5: Numerical Descriptive Measures149 Questions
Exam 6: Probability113 Questions
Exam 7: Random Variables and Discrete Probability Distributions50 Questions
Exam 8: Continuous Probability Distributions113 Questions
Exam 9: Statistical Inference and Sampling Distributions69 Questions
Exam 10: Estimation: Describing a Single Population125 Questions
Exam 11: Estimation: Comparing Two Populations36 Questions
Exam 12: Hypothesis Testing: Describing a Single Population124 Questions
Exam 13: Hypothesis Testing: Comparing Two Populations69 Questions
Exam 14: Additional Tests for Nominal Data: Chi-Squared Tests113 Questions
Exam 15: Simple Linear Regression and Correlation213 Questions
Exam 16: Multiple Regression122 Questions
Exam 17: Time-Series Analysis and Forecasting147 Questions
Exam 18: Index Numbers27 Questions
Select questions type
The expected value, E(X), of a uniform random variable X defined over the interval , is:
(Multiple Choice)
4.7/5
(32)
Given that z is a standard normal random variable, a negative value of z indicates that the standard deviation of z is negative.
(True/False)
4.7/5
(29)
Given that X is a normal variable, which of the following statements is (are) true?
(Multiple Choice)
4.8/5
(29)
In the normal distribution, the total area under the curve is equal to one.
(True/False)
4.8/5
(39)
The probability density function f(x) for a uniform random variable X defined over the interval [1, 11] is:
(Multiple Choice)
4.8/5
(34)
Consider a binomial random variable X with n = 300 and p = 0.02. Approximate the values of the following probabilities.
a. P(X = 4).
b. P(X 5).
c. P(X 8).
(Short Answer)
4.9/5
(31)
The mean and standard deviation of a normally distributed random variable that has been standardised are one and zero, respectively.
(True/False)
4.9/5
(32)
Which of the following is not true for a random variable X that is uniformly distributed over the interval ?
(Multiple Choice)
4.8/5
(40)
In a shopping centre, the waiting time for an elevator is found to be uniformly distributed between 1 and 5 minutes.
a. What is the probability density function for this uniform distribution?
b. What is the probability of waiting no more than 3 minutes?
c. What is the probability that the elevator arrives in the first 30 seconds?
d. What is the probability of a waiting time between 2 and 3 minutes?
e. What is the expected waiting time?
(Essay)
4.8/5
(37)
Given that Z is a standard normal random variable, the mean of Z is:
(Multiple Choice)
4.9/5
(36)
Given that Z is a standard normal random variable, the area to the left of a value z is expressed as:
(Multiple Choice)
4.8/5
(25)
If the random variable X is normally distributed with a mean of 75 and a standard deviation of 8, then P(X ≤ 75) is:
(Multiple Choice)
4.8/5
(37)
The probability density function, f(x), for any continuous random variable X, represents:
(Multiple Choice)
4.8/5
(33)
Using the standard normal curve, the probability or area between z = -1.28 and z = 1.28 is 0.1003
(True/False)
4.8/5
(28)
If the random variable X is uniformly distributed over the interval 10 x 50, find the following probabilities.
a.
b.
c.
d.
(Short Answer)
4.8/5
(37)
For a normal curve, if the mean is 20 minutes and the standard deviation is 5 minutes, the area to the right of 13 minutes is 0.9192.
(True/False)
4.8/5
(39)
Which of the following is always true for all probability density functions of continuous random variables?
(Multiple Choice)
4.9/5
(28)
If the random variable X is exponentially distributed, then which of the following statements best describes the mean of X?
(Multiple Choice)
4.9/5
(41)
Showing 21 - 40 of 113
Filters
- Essay(0)
- Multiple Choice(0)
- Short Answer(0)
- True False(0)
- Matching(0)