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## Stat Study Guide #2

by: Angeleana Notetaker

21

0

3

# Stat Study Guide #2 Stat 214

Angeleana Notetaker
University of Louisiana at Lafayette
GPA 2.4

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Covers 5.1 and 5.2
COURSE
Stat 214
PROF.
Blaise Heider
TYPE
Study Guide
PAGES
3
WORDS
KARMA
50 ?

## Popular in Statistics

This 3 page Study Guide was uploaded by Angeleana Notetaker on Friday September 30, 2016. The Study Guide belongs to Stat 214 at University of Louisiana at Lafayette taught by Blaise Heider in Fall 2016. Since its upload, it has received 21 views. For similar materials see Stat 214 in Statistics at University of Louisiana at Lafayette.

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Date Created: 09/30/16
Statistics 214 Study Guide A random variable is a numerical outcome of a probability experiment Discrete Random Variable: Can be listed Continuous Random Variable: Cannot be listed Probability Distribution: for discrete random variables specifies the probability for each possible value of the random variable. P(A or B) = P(A) + P(B)= Mutually Exclusive Mean of a Random Variable  The mean of a random variable provides a measure of center for the probability distribution of a random variable.  Another name for mean of a random variable is expected value. Binomial Distribution: A random variable that represents the # of success in a series of trials that has a probability distribution. Conditions for a Binomial Distribution 1. A fixed # of trials are conducted 2. There are 2 possible outcomes for each trial, “success” and “failure” 3. The probability of success is the same for each trial 4. The trials are independent (meaning the outcome of one trial does not affect the outcome of the other) 5. The random variable X represents the # of successes Binompdf: used when finding the probability that binomial random variable X is equal to a specific value Binomcdf: Used when finding the probability that the binomial random variable X is less than or equal to a specific value

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