Question

Which of the following statements about continuous random variables and continuous probability distributions is/are TRUE? I....

Which of the following statements about continuous random variables and continuous probability distributions is/are TRUE?

I. The probability that a continuous random variable takes a specific value is 0.

II. The probability that a continuous random variable takes a negative value is 0.

III. The probability that any uniformly distributed random variable takes a value less than its mean is 0.5.

IV. The probability that a normally distributed random variable takes a value less than its mean is 0.5.
Math   Statistics-And-Probability   
0 0
Add a commentTranscribed image text
Next >

Homework Answers

Answer #1

0 0
Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Log In

Sign Up

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
1. A random variable X has a normal distribution with a mean of 75 and a...
1. A random variable X has a normal distribution with a mean of 75 and a variance of 9. Calculate P(60 < X < 70.5). Round your answer to 4 decimal places. 2. A random variable X has a uniform distribution with a minimum of -50 and a maximum of -20. Calculate P(X > -25). Round your answer to 4 decimal places. 3.Which of the following statements about continuous random variables and continuous probability distributions is/are TRUE? I. The probability...
Which of the following statements is not true about continuous probability distributions? Select one: a. The...
Which of the following statements is not true about continuous probability distributions? Select one: a. The probability of any event is the area under the density curve over the range of values that make up the event. b. The total area under the density curve must be exactly 1. c. If X is a continuous random variable taking values between 0 and 500, then P(X > 200) = P(X ? 200). d. There are no disjoint events in continuous probability...
13. Examples of discrete random variables include which of the following? (I) The number of clicks...
13. Examples of discrete random variables include which of the following? (I) The number of clicks an online advertisement receives (II) The amount of oxygen in a certain room. (III) The number of people on a flight from LA to Australia (IV) The number of traffic accidents on a particular stretch of I-80 in 2012 14. The expected value is essentially a _____________of the possible outcomes for the random variable. The weights are the corresponding probabilities for those possible outcomes....
Assume that you have a continuous random variable which is uniformly distributed in the range: [3,8]...
Assume that you have a continuous random variable which is uniformly distributed in the range: [3,8] . What is the probability that the random variable takes on a value less than or equal to 7?
1. A continuous random variable is normally distributed. The probability that a value in the distribution...
1. A continuous random variable is normally distributed. The probability that a value in the distribution is greater than 47 is 0.4004. Find the probability that a value in the distribution is less than 47. 2. A continuous random variable is normally distributed. The probability that a value in the distribution is less than 125 is 0.5569. Find the probability that a value in the distribution is greater than 125. 3. A random variable is normally distributed with mean 89.7...
A consequence of continuous random variables having an infinite, uncountable set of possible values is that...
A consequence of continuous random variables having an infinite, uncountable set of possible values is that the probability of any continuous random variable that equals to a specific value is always ______________. Multiple Choice zero very hard to tell an extremely small number less than one
(i) Find the marginal probability distributions for the random variables X1 and X2 with joint pdf...
(i) Find the marginal probability distributions for the random variables X1 and X2 with joint pdf f(x1, x2) = 12x1x2(1-x2) , 0 < x1 <1 0 < x2 < 1 0 , otherwise (ii) Calculate E(X1) and E(X2) (iii) Are the variables X1 ¬and X2 stochastically independent?
4. (i) Find the marginal probability distributions for the random variables X1 and X2 with joint...
4. (i) Find the marginal probability distributions for the random variables X1 and X2 with joint pdf                     f(x1, x2) = 12x1x2(1-x2) , 0 < x1 <1   0 < x2 < 1 , otherwise             (ii) Calculate E(X1) and E(X2)     (iii) Are the variables X1 ­and X2 stochastically independent?
Which of the following statements concerning the linear correlation coefficient are true? I: If the linear...
Which of the following statements concerning the linear correlation coefficient are true? I: If the linear correlation coefficient for two variables is zero, then there is no relationship between the variables. II: If the slope of the regression line is negative, then the linear correlation coefficient less than one. III: The value of the linear correlation coefficient always lies between -1 and 1. IV: A linear correlation coefficient of 0.62 suggests a stronger linear relationship than a linear correlation coefficient...
Question # 1: Which of the following are continuous random variables? I. The sum of numbers...
Question # 1: Which of the following are continuous random variables? I. The sum of numbers on a pair of two dice II. The possible sets of outcomes from flipping ten coins III. The possible sets of outcomes from flipping (countably) infinite coins IV. The possible values of outside temperature in Texas V. The possible times that a person arrives at a restaurant a. I & II & III b. II & III Only c. III & IV d. IV...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT