8. It is usually written using a capital letter, is a variable that assigns a numerical value to each outcome of a random event. a. Discrete Random Variable Probability b. Continuous Random Variable c. Random Variable 19. A measure of spread for a distribution of a random variable that determines the degree to which the values of a random variable differ from the expected value. a. Standard Deviation b. Variance c. Mean d. Probability 20. If the standard deviation of a discrete probability distribution is 8.4, what is the value of the variance? a. 76.83 b. 70.56 c. 67.28 d. 52.90 21. The sum of all the individual probabilities in the distribution is equal to _____. a. 0 b. 3 c. 1 d. 2 22. The square root of the variance is equal to the _________________________. a. Probability b. Standard Deviation c. Mean d. Variance 23. It assumes an infinite number of possible values including the decimal between two counting numbers. a. Probability b. Discrete Random Variable c. Random Variable d. Continuous Random Variabl

A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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18. It is usually written using a capital letter, is a variable that assigns a numerical value to each outcome of a random event. a. Discrete Random Variable Probability b. Continuous Random Variable c. Random Variable 19. A measure of spread for a distribution of a random variable that determines the degree to which the values of a random variable differ from the expected value. a. Standard Deviation b. Variance c. Mean d. Probability 20. If the standard deviation of a discrete probability distribution is 8.4, what is the value of the variance? a. 76.83 b. 70.56 c. 67.28 d. 52.90 21. The sum of all the individual probabilities in the distribution is equal to _____. a. 0 b. 3 c. 1 d. 2 22. The square root of the variance is equal to the _________________________. a. Probability b. Standard Deviation c. Mean d. Variance 23. It assumes an infinite number of possible values including the decimal between two counting numbers. a. Probability b. Discrete Random Variable c. Random Variable d. Continuous Random Variable
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