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Random
Variables
P r e p a r e d b y : S i r T e d d y B . C a t i m b a n g
Target Skills
1. Illustrate a random variable.
2. Classify random variables as discrete or
continuous.
3. Find the possible values of a random
variable.
Random Variable
Is a function that associates a real number
with each element in the sample space. It is a
variable whose values are determined by
chance.
Review and Illustration
Illustrative Example:
Suppose three coins are tossed. Let Y be
the random variable representing the number
of tails that occur. Find the probability of each
of the values of the random Y.
The Solution is shown below.
Steps Solution
1. Determine the sample space. Let H represent
head and T, tail.
The sample space for this experiment is S = {TTT,
TTH, THT, HTT, HHT, HTH, THH, HHH}
2. Count the number of tails in each outcome in
the sample space and assign this number to this
outcome.
Discrete Random Variable
It is a set of possible outcomes is countable.
Example:
1. Number of sales
2. Number of calls
3. Shares of stock
4. People in line
5. Mistakes per page
Continuous Random Variable
It is takes on values on the continuous scale.
Example:
1. Length
2. Depth
3. Volume
4. Time
5. Weight
Thank You!!!

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Random Variables.pptx

  • 1. Random Variables P r e p a r e d b y : S i r T e d d y B . C a t i m b a n g
  • 2. Target Skills 1. Illustrate a random variable. 2. Classify random variables as discrete or continuous. 3. Find the possible values of a random variable.
  • 3. Random Variable Is a function that associates a real number with each element in the sample space. It is a variable whose values are determined by chance.
  • 5. Illustrative Example: Suppose three coins are tossed. Let Y be the random variable representing the number of tails that occur. Find the probability of each of the values of the random Y.
  • 6. The Solution is shown below. Steps Solution 1. Determine the sample space. Let H represent head and T, tail. The sample space for this experiment is S = {TTT, TTH, THT, HTT, HHT, HTH, THH, HHH} 2. Count the number of tails in each outcome in the sample space and assign this number to this outcome.
  • 7. Discrete Random Variable It is a set of possible outcomes is countable. Example: 1. Number of sales 2. Number of calls 3. Shares of stock 4. People in line 5. Mistakes per page
  • 8. Continuous Random Variable It is takes on values on the continuous scale. Example: 1. Length 2. Depth 3. Volume 4. Time 5. Weight