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Samples, Random Variables—Histograms, Density Distribution

In: Environmental Data Analysis

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  • Carsten Dormann

    (University of Freiburg, Biometry and Environmental System Analysis)

Abstract

At the end of this chapter $$\ldots $$ … $$\ldots $$ … you should know what a sample is. $$\ldots $$ … the terms mean, median, standard deviation, variance, and standard error should be so familiar to you that you can recall their formulas from memory. You should also be comfortable with the concepts of skew, kurtosis and interquartile range. $$\ldots $$ … you should be familiar with the histogram as a simple and useful graphical representation. $$\ldots $$ … you should understand what a frequency distribution is. $$\ldots $$ … you should be able to tell the difference between the frequency and density of a value. $$\ldots $$ … you should want to get started with doing something practical.

Suggested Citation

  • Carsten Dormann, 2020. "Samples, Random Variables—Histograms, Density Distribution," Springer Books, in: Environmental Data Analysis, chapter 0, pages 1-12, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-55020-2_1
    DOI: 10.1007/978-3-030-55020-2_1
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