Frequency distribution
Frequency distribution is a statistical representation of the number of occurrences (frequency) of a set of values within a dataset. It provides a visual representation of data distribution and can be represented in various forms such as tables, histograms, or pie charts.
Overview[edit | edit source]
A frequency distribution represents the number of times each value appears in a dataset. It is a way of summarizing and visualizing data. The values are grouped into ranges (bins), and they are usually consecutive, non-overlapping intervals of a variable. The frequency of each value is then counted within each bin.
Types of Frequency Distributions[edit | edit source]
There are several types of frequency distributions, including:
- Absolute Frequency: This is the number of times a particular value appears in a dataset.
- Relative Frequency: This is the ratio of the absolute frequency to the total number of data points.
- Cumulative Frequency: This is the sum of the frequencies of all values to the left of a given value in the distribution.
- Grouped Frequency Distribution: This is a frequency distribution where values are grouped into classes or intervals.
Uses of Frequency Distributions[edit | edit source]
Frequency distributions are used in a variety of fields, including:
- Statistics: Frequency distributions are used to summarize and visualize data.
- Data Analysis: They are used to identify patterns and trends in data.
- Probability: They are used to calculate probabilities of events.
See Also[edit | edit source]
References[edit | edit source]
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Contributors: Prab R. Tumpati, MD