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Chapter 20- Non-Normal Probability Distributions - Coggle Diagram
Chapter 20- Non-Normal Probability Distributions
Reviewing Normal Probability Distributions
Data associated with random variables
Related to continous data
Anatonomy of a Normal Curve
Requires for inferential statistics
Describes both the mean and standard deviation
Is symmetrical
Concentrate along the center of the curve
Non- Normal Continous Distributions
Exponential Distribution
Creates a histogram or trendline
Data is not organized around the mean
Decreases as you travel the x-axis
Often used when working with data sets
Average or mean
In time or space
Distance
Wait-line theories
Applying Data to Real-World Situations
Ask yourself questions
Total expenses
Is low-cost defect high?
Determines probablility for certain events or data points
Make educated guesses
Non-Normal Discrete Distribution
Poisson Distribution
Sample size is at least 16
Population size is 10 times the size
Dealing with data distributively randomly within time
Binomial Distribution
When dealing with binomial data sets
Used when dealing with discrete data