A frequency distribution is a summary table that displays the frequency (or count) at which each category or value occurs in a dataset.
Imagine you have collected data on how many hours students spend studying per week. You can create a frequency distribution by listing different time intervals (e.g., 0-5 hours, 6-10 hours, etc.) and counting how many students fall into each interval.
Relative Frequency: The proportion of the total observations that belong to a specific category or value in a frequency distribution.
Histogram: A graphical representation of a frequency distribution, where the categories or values are shown on the x-axis and the frequencies are displayed as bars on the y-axis.
Cumulative Frequency: The running total of frequencies as you move through the categories or values in a frequency distribution.
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