Chapter 6 Flashcards
A listing of all the outcomes of an experiment and the probability associated with each outcome
Probability distribution
What are the three characteristics of a probability outcome
- The probability of a particular outcome is between 0 and 1
- The outcomes are mutually exclusive
- The list of outcomes is exhaustive. Their sum = 1
A variable measured or observed as the result of an experiment. By chance, the variable can have different values.
Random variable
A random variable that can assume only certain clearly separated values
Discrete random variable
What 4 requirements make a binomial probability experiment
- An outcome on each trial of an experiment is success or failure
- Random variable is the number of success
- The probability of success is the same for each trial
- The trials are independent
What is the formula for the mean of binomial distribution
µ=nΠ
Two requirments for the hypergeometric distribution
- Sample is selected from a finite population without replacement
- if the size of the sample n is more than 5% of the size of the population N
Characteristics of a Hypergeometric probability experiment
- An outcome on each trial of an experiment is success or failure
- Random variable is number of successes
- Trials are not independent
- Population is finite without replacement
For a binomial distribution, state the meaning of the letters in the formula
C=combination formula
n is the number of trials
x is the random variable
π = probability
For a hypergeometric distribution, state the meaning of the letters in the formula
N is the size of the population
S is the number of successes is the population
x is the number of successes in the sample (0,1,2,3,4…)
n is the size of the sample or the number of trials
C is the symbol for combination
Describes the number of times some event occurs during a specified interval
Poison Probability
Characteristics of a poison probability experiment
- Random variable is the number of times some event occurs during a defined interval
- Probability of the event is proportional to the size of the interval
- The intervals do not overlap and are independent
With a Poisson distribution, what is the relationship between the mean and variance
They are equal