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Mathematical optimization. --- Mathematical optimization --- Computer programs.
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Consumption (Economics) --- Consumer behavior. --- Economics, Mathematical. --- Indifference curves. --- Mathematical models.
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Jason Gibson describes how and when to use Chebyshev's Theorem in statistical calculations. He also demonstrates three practice problems using Chebyshev's Theorem.
Mathematical statistics. --- Research --- Statistical methods.
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Jason Gibson explains the concept of the standard score, also known as the z-score. Gibson provides two examples to illustrate how to use this concept.
Mathematical statistics. --- Research --- Statistical methods.
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Jason Gibson explains the topics in statistics that students should know before continuing with the Mastering Statistics courses.
Mathematical statistics. --- Research --- Statistical methods.
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Jason Gibson asks viewers to distinguish between population and sample, and between parameter and statistic.
Sampling (Statistics) --- Mathematical statistics. --- Population
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Jason Gibson provides an overview of mathematical statistics. He also explains how statistics can be manipulated or used incorrectly.
Mathematical statistics. --- Research --- Statistical methods.
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Jason Gibson discusses the significance of using the median and mode in statistical calculations. He explains how to calculate median and mode, and he provides multiple examples of each.
Mathematical statistics. --- Research --- Statistical methods.
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Jason Gibson presents and defines basic statistics terminology. He discusses the difference between descriptive and inferential statistics, then provides examples of each.
Mathematical statistics. --- Research --- Statistical methods.
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