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Summary

Module by: Kathy Chu. E-mail the author

Based on: Sampling and Data: Summary by Susan Dean, Barbara Illowsky, Ph.D.

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

Note:

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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Definition of a lens

Lenses

A lens is a custom view of the content in the repository. You can think of it as a fancy kind of list that will let you see content through the eyes of organizations and people you trust.

What is in a lens?

Lens makers point to materials (modules and collections), creating a guide that includes their own comments and descriptive tags about the content.

Who can create a lens?

Any individual member, a community, or a respected organization.

What are tags? tag icon

Tags are descriptors added by lens makers to help label content, attaching a vocabulary that is meaningful in the context of the lens.

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