PROBABILITY DISTRIBUTIONS / RANDOM VARIABLES.
27:39
YouTubeDr. Chris Esekhaigbe
PROBABILITY DISTRIBUTIONS / RANDOM VARIABLES.
This video explains the definition of a probability distribution and random variables. The types of random variables (discrete and continuous) were explained with examples. A sample space was defined with some examples explaining the meaning of probability and the outcomes of a random experiment.
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CONCEPT NOTE 2/LESSON 2: TYPES OF RANDOM VARIABLE TWO TYPES OF RANDOM VARIABLES • DISCRETE RANDOM VARIABLE- variable that can take on finite number of distinct values. Examples: 1. Number of heads obtained when tossing a coin thrice 2. The number of siblings a person has. 3. Number of student’s present in a classroom at a given time. • CONTINUOUS RANDOM VARIABLE- variable that can take an infinitely uncountable number of possible values, typically measurable quantities. Examples: 1. Time of pers
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CONCEPT NOTE 2/LESSON 2: TYPES OF RANDOM VARIABLE TWO TYPES OF RANDOM VARIABLES • DISCRETE RANDOM VARIABLE- variable that can take on finite number of distinct values. Examples: 1. Number of heads obtained when tossing a coin thrice 2. The number of siblings a person has. 3. Number of student’s present in a classroom at a given time. • CONTINUOUS RANDOM VARIABLE- variable that can take an infinitely uncountable number of possible values, typically measurable quantities. Examples: 1. Time of pers
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