descriptive statistics
Quick Summary
Descriptive statistics are used to summarize and present data in a clear and understandable way. This involves using tables, graphs, and numerical measures to describe the main features of a dataset.12
Key numerical measures include:
* Measures of Central Tendency: These describe the center of the data. Common measures are the mean (average), median (middle value), and mode (most frequent value).12
* Measures of Variability: These describe how spread out the data is. Examples include the range (difference between the highest and lowest values), variance, and standard deviation.12
* Percentiles and Quartiles: These indicate the position of a data value within the dataset, dividing it into parts.12
Descriptive statistics are fundamental in fields like economics, business, and science for interpreting data and identifying patterns.3
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