19. The _______________________ is denoted by σ². a. Mean b. Probability c. Variance d. Standard Deviation 20. This is a required question Tell whether the given values represent a Probability Distribution or not. P(1) = 0 , P(2) = 0.71 , P(3) = 0.39 a. Not Probability b. Distribution c. Probability Distribution 21. Find the mean of the given values 8, 11, 5, 8, 19, 13, and 10. a. 10.37 b. 10.17 c. 10.87 d. 10.57 22. This is a required question It ta

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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18. 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 19. The _______________________ is denoted by σ². a. Mean b. Probability c. Variance d. Standard Deviation 20. This is a required question Tell whether the given values represent a Probability Distribution or not. P(1) = 0 , P(2) = 0.71 , P(3) = 0.39 a. Not Probability b. Distribution c. Probability Distribution 21. Find the mean of the given values 8, 11, 5, 8, 19, 13, and 10. a. 10.37 b. 10.17 c. 10.87 d. 10.57 22. This is a required question It takes on countable number of distinct values, which are whole numbers such as 0, 1, 2, 3, ... a . Probability b. Random Variable c. Continuous Random Variable d. Discrete Random Variable 23. This is a required question “The number of battle points gain in Mobile legends” is an example of _______________. a. Discrete Random Variable b. Continuous Random Variable 24. Tell whether the given values represent a Probability Distribution or not. P(1) = 0.42 , P(2) = 0.21 , P(3) = 0.37 a. Not Probability Distribution b. Probability Distribution 25. “The weight of baggage allowed in international flight” is an example of _______________. a. Continuous Random Variable b. Discrete Random Variable 26. Which of the following is NOT TRUE about Discrete Probability Distribution? a. The sum of probabilities in the distribution is equal to 1. b. The value of each probability is 0 ≤ P ≤1. c. It is also known as Probability Mass Function d. Each probability in the distribution is greater than 1 but less than 0.
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