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Categorial Data
Quantitative Data
Frequency Distribution
Summarizing Categorical Data
Summarizing Quantitative Data
Cumulative Distributions
Ogive
Why n-1?
why interquartile range?
Mean
Median
Distribution Shape
Z-scores
Random Variables
Discrete Random Variable
DISCRETE PROBABILITY FUNCTION
BINOMIAL PROBABILITY DISTRIBUTION
Properties of a Binomial Distribution – or, how do I recognize that it is a Binomial Distribution?
POISSON PROBABILITY DISTRIBUTION
Properties of a Poisson Distribution
*extra*
HYPERGEOMETRIC PROBABILITY DISTRIBUTION
Properties of a Hypergeometric Distribution
CHARACTERISTICS OF THE NORMAL DISTRIBUTION
There are three “types” of probabilities we will compute:
1. Sampling from a finite population: A simple random sample
2. Sampling from a process – or an infinite population: A random sample
RELATIONSHIP BETWEEN SAMPLE SIZE AND THE SAMPLING DISTRIBUTION OF X-BAR (THE STANDARD ERROR OF THE MEAN)
PROBABILITY SAMPLING METHODS
NON-PROBABILITY SAMPLING METHODS
POTENTIAL ERRORS THAT ARISE FROM SAMPLING
In practice, the planning value, p* can be chosen by one of the following procedures:
DETERMINING THE SAMPLE SIZE
In practice, the planning value, X-Bar can be chosen by one of the following procedures:
