Question: Complete the PDF and answer the questions. x P(x) 0 0.3 1 0.2 2 3 0.4 a. Find the probability that x= 2. b. Find the expected value. Probability density function (PDF): The chances that a variable will take a value is known as a probability distribution function (PDF). • It is denoted by p(x) • The sum of entire probabilities for all the potential values is always equal to 1. • The values are in the middle of the range 0 and 1.

Essentials of Business Analytics (MindTap Course List)
2nd Edition
ISBN:9781305627734
Author:Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson
Publisher:Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, David R. Anderson
Chapter5: Probability: An Introduction To Modeling Uncertainty
Section: Chapter Questions
Problem 22P: Consider a Poisson distribution with . Write the appropriate Poisson probability mass...
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Question:
Complete the PDF and answer the questions.
x P(x)
0 0.3
1 0.2
2
3 0.4
a. Find the probability that x= 2. b. Find the
expected value.
Probability density function
(PDF):
The chances that a variable will take a value is
known as a probability distribution function
(PDF).
• It is denoted by p(x)
• The sum of entire probabilities for all the
potential values is always equal to 1.
• The values are in the middle of the range 0 and
1.
Transcribed Image Text:Question: Complete the PDF and answer the questions. x P(x) 0 0.3 1 0.2 2 3 0.4 a. Find the probability that x= 2. b. Find the expected value. Probability density function (PDF): The chances that a variable will take a value is known as a probability distribution function (PDF). • It is denoted by p(x) • The sum of entire probabilities for all the potential values is always equal to 1. • The values are in the middle of the range 0 and 1.
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