Histogram is the graphical representation of a continuous frequency distribution.
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Construction of Histogram:
We will consider two main cases in the construction of histograms.
- Histograms with equal class intervals
- Histograms with unequal class intervals
1.) Histograms with equal class intervals:
In this case, the range of the data is divided into intervals of equal width. The width of each interval, or bin, is uniform throughout the histogram. Equal class intervals simplify the construction and interpretation of the histogram, as they provide uniform spacing between intervals.
2.) Histograms with unequal class intervals:
In this case, the intervals or bins have varying widths, which may be necessary to accommodate the distribution of the data more accurately. Unequal class intervals allow for better representation of data with varying densities or concentrations.
Ogive curve:
An Ogive curve, also known as a cumulative frequency curve or a cumulative distribution curve, is a graphical representation of cumulative frequencies or cumulative relative frequencies of continuous variable.
Note: Cumulative frequency (CF) distribution is a way of summarizing and presenting frequency data, where each entry in the table represents the cumulative frequency up to a certain class or interval.
Types of Cumulative frequency (CF) distribution:
There are two main types of cumulative frequency distributions:
- Less Than Cumulative Frequency Distribution
- More Than Cumulative Frequency Distribution
1.) Less Than Cumulative Frequency Distribution: