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Dispersion vs Skewness In statistics and probability theory, often the variation in the distributions has to be expressed in a quantitative manner for the purposes of comparison. Dispersion and Skewness are two statistical concepts where the shape of the distribution is presented in a quantitative scale. More about Dispersion In statistics, the dispersion is […]
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Central Tendency vs Dispersion In descriptive and inferential statistics, several indices are used to describe a data set corresponding to its central tendency, dispersion, and skewness: the three most important properties that determine the relative shape of the distribution of a data set. What is central tendency? Central tendency refers to and locates the […]
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Population vs Sample Standard Deviation In statistics, several indices are used to describe a data set corresponding to its central tendency, dispersion and skewness. Standard deviation is one of the most common measures of dispersion of data from the center of the data set. Due to practical difficulties, it will not be possible to make […]
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Standard Deviation vs Mean In descriptive and inferential statistics, several indices are used to describe a data set corresponding to its central tendency, dispersion and skewness. In statistical inference, these are commonly known as estimators since they estimate the population parameter values. Central tendency refers to and locates the center of the distribution of values. […]