Discrete Probability Distribution, Lecture notes of Mathematics

This lecture will help you to understand how you will construct a discrete probability distribution.

Typology: Lecture notes

2024/2025

Available from 01/03/2025

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STATISTICS AND PROBABILITY
LESSON 2 PROBABILITY DISTRIBUTION OF THE DISCRETE RANDOM
VARIABLE
DISCRETE RANDOM VARIABLE
A discrete random variable is one that can assume only a
countable number of values.
PROBABILITY DISTRIBUTION
It is a listing of the possible values and the corresponding probabilities
of a discrete random variable or a formula for the probabilities.
Example 1.
A basket contains 10 ripe and 4 unripe bananas. If three bananas are taken
from the basket one after the other, determine the possible values of the
random variable R representing the number of ripe bananas. Construct the
probability distribution of the random variable R.
Step 1. List the sample space of this experiment. Let R represent the ripe
bananas and let U represent the unripe bananas
S = {RRR, RRU, RUR, URR, UUR, URU, RUU, UUU}
Step 2. Count the number of ripe bananas (R) in each outcome and assign
this number to this outcome.
OUTCOMES Number of Ripe
Bananas
(Value of R)
RRR 3
RRU 2
RUR 2
URR 2
UUR 1
URU 1
RUU 1
UUU 0
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STATISTICS AND PROBABILITY

LESSON 2 – PROBABILITY DISTRIBUTION OF THE DISCRETE RANDOM

VARIABLE

DISCRETE RANDOM VARIABLE

A discrete random variable is one that can assume only a countable number of values. PROBABILITY DISTRIBUTION  It is a listing of the possible values and the corresponding probabilities of a discrete random variable or a formula for the probabilities. Example 1. A basket contains 10 ripe and 4 unripe bananas. If three bananas are taken from the basket one after the other, determine the possible values of the random variable R representing the number of ripe bananas. Construct the probability distribution of the random variable R. Step 1. List the sample space of this experiment. Let R represent the ripe bananas and let U represent the unripe bananas

S = {RRR, RRU, RUR, URR, UUR, URU, RUU, UUU}

Step 2. Count the number of ripe bananas (R) in each outcome and assign this number to this outcome. OUTCOMES Number of Ripe Bananas (Value of R) RRR 3 RRU 2 RUR 2 URR 2 UUR 1 URU 1 RUU 1 UUU 0

Step 3. Construct the frequency distribution of the values of the random variable R. Number of Ripe Bananas (Values of R) Number of Occurrence (Frequency) 3 1 2 3 1 3 0 1 Total 0 Step 4. Construct the probability distribution of the random variable R by getting the probability of occurrence of each value of the random variable. Number of Ripe Bananas (Values of R) Number of Occurrence (Frequency) Probability P(R) 3 1 1/ 2 3 3/ 1 3 3/ 0 1 1/ Total 8 8/8 or 1