Discuss Descriptive Statistics in detail?

Data Science, AI and ML
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Descriptive statistics are brief descriptive coefficients that summarize a given data set, which can be either a representation of the entire population or a sample of a population. Descriptive statistics are broken down into measures of central tendency and measures of variability (spread). Measures of central tendency include the mean, median, and mode, while measures of variability include standard deviation, variance, minimum and maximum variables, kurtosis, and skewness.

  • Descriptive statistics summarizes or describes the characteristics of a data set.
  • Descriptive statistics consists of two basic categories of measures: measures of central tendency and measures of variability (or spread).
  • Measures of central tendency describe the center of a data set.
  • Measures of variability or spread describe the dispersion of data within the set.

For example, the sum of the following data set is 20: (2, 3, 4, 5, 6). The mean is 4 (20/5). The mode of a data set is the value appearing most often, and the median is the figure situated in the middle of the data set. It is the figure separating the higher figures from the lower figures within a data set. However, there are less common types of descriptive statistics that are still very important.

Types of Descriptive Statistics:

All descriptive statistics are either measures of central tendency or measures of variability, also known as measures of dispersion.

  1. Central Tendency
  2. Measures of Variability