Frequency Distribution:
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Frequency distribution is a summary of how often different values occur within a dataset. It shows the count or proportion of observations that fall into various ranges (bins) of values.
The calculator divides the range of your data into equal-sized bins and counts how many data points fall into each bin:
Where:
Details: Frequency distributions help identify patterns in data, including central tendency, dispersion, and shape of the distribution. They are fundamental for statistical analysis and data visualization.
Tips:
Q1: What's the optimal number of bins?
A: There's no single answer. Common rules include Square-root choice (√n) or Sturges' formula (1 + log2n).
Q2: How are values exactly on bin edges handled?
A: Values equal to the upper bound of a bin are placed in the next higher bin, except the maximum value which stays in the highest bin.
Q3: Can I use this for categorical data?
A: This calculator is designed for numerical data. For categories, each unique value would be its own "bin".
Q4: What if my data has outliers?
A: Outliers may distort the distribution. Consider removing extreme values or using non-equal bin widths.
Q5: How can I visualize the results?
A: Frequency distributions are commonly displayed as histograms or bar charts.