1. Tell whether the given values represent a Probability Distribution or not. P(0) = 1/6 , P(2) = 1/6 , P(4) = 1/3 , P(6) = 1/6 , P(8) = 1/6 a. Not Probability Distribution b. Probability Distribution 2. This is a required question It is a variable whose value is obtained by counting. a Discrete Random Variable b. Continuous Random Variable 3. Tell whether the given values represent a Probability Distribution or not. P(1) = 10/33 , P(2) = 1/3 , P(3) = 12/33 a. Not Probability Distribution b. Probability Distribution
1. Tell whether the given values represent a Probability Distribution or not. P(0) = 1/6 , P(2) = 1/6 , P(4) = 1/3 , P(6) = 1/6 , P(8) = 1/6 a. Not Probability Distribution b. Probability Distribution 2. This is a required question It is a variable whose value is obtained by counting. a Discrete Random Variable b. Continuous Random Variable 3. Tell whether the given values represent a Probability Distribution or not. P(1) = 10/33 , P(2) = 1/3 , P(3) = 12/33 a. Not Probability Distribution b. Probability Distribution
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
1. Tell whether the given values represent a Probability Distribution or not. P(0) = 1/6 , P(2) = 1/6 , P(4) = 1/3 , P(6) = 1/6 , P(8) = 1/6
a. Not Probability Distribution
b. Probability Distribution
2. This is a required question
It is a variable whose value is obtained by counting.
a Discrete Random Variable
b. Continuous Random Variable
3. Tell whether the given values represent a Probability Distribution or not. P(1) = 10/33 , P(2) = 1/3 , P(3) = 12/33
a. Not Probability Distribution
b. Probability Distribution
4. “The temperature of the lava that comes out of a volcano during an eruption” is an example of _______________.
a. Discrete Random Variable
b. Continuous Random Variable
5. It is a statistical function that describes all the possible values and likelihoods that a random variable can take within a given range . Like any other statistical distribution, a probability mass function may be graphed using a histogram.
a. Graphical Presentation
b. Random Variable
c. Continuous Probability Distribution
d. Discrete Probability Distribution
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