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1.8 Summary

This module provides an outline/review of key concepts related to statistical sampling and data.

Statistics

Deals with the collection, analysis, interpretation, and presentation of data

Probability

Mathematical tool used to study randomness

Key terms

Population
Parameter
Sample
Statistic
Variable
Data

Types of data

Quantitative Data (a number)
- Discrete (You count it.)
- Continuous (You measure it.)
Qualitative Data (a category, words)

Sampling

With Replacement : A member of the population may be chosen more than once
Without Replacement : A member of the population may be chosen only once

Random sampling

Each member of the population has an equal chance of being selected

Sampling methods

Random
- Simple random sample
- Stratified sample
- Cluster sample
- Systematic sample
Not Random
- Convenience sample

Samples must be representative of the population from which they come. They must have the same characteristics. However, they may vary but still represent the same population.

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Read also:

OpenStax, Elementary statistics. OpenStax CNX. Dec 30, 2013 Download for free at http://cnx.org/content/col10966/1.4

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