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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

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:

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2016-06-13T00:31:15Z

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