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Statistics: sampling, description and probability

Populations and samples, the sampling designs and the biases that spoil them, levels of measurement, the graphical and numerical summaries of data, then the vocabulary of probability.

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  • Front Blinding
    Back not telling participants which treatment a subject is receiving
  • Front Box plot
    Back a graph that gives a quick picture of the middle 50% of the data
  • Front Categorical Variable
    Back variables that take on values that are names or labels
  • Front Cluster Sampling
    Back a method for selecting a random sample and dividing the population into groups (clusters); use simple random sampling to select a set of clusters. Every individual in the chosen clusters is included in the sample.
  • Front Conditional Probability
    Back the likelihood that an event will occur given that another event has already occurred

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Licence
Creative Commons Attribution 4.0 International CC-BY-4.0
Attribution
Source : https://openstax.org/books/introductory-statistics/pages/preface — Licence : Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/)
Source
OpenStax — Introductory Statistics (first edition)
Retrieved on
Topic
Science
Language
English
Version
3
Updated on

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