# Frequency distribution

**distributionfrequency tabledistributionsfrequency tablesFrequency distribution § Joint frequency distributionsjoint frequencyjoint frequency distribution**

In statistics, a frequency distribution is a list, table or graph that displays the frequency of various outcomes in a sample.wikipedia

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### Histogram

**histogramsbin sizebin**

It is a way of showing unorganized data notably to show results of an election, income of people for a certain region, sales of a product within a certain period, student loan amounts of graduates, etc. Some of the graphs that can be used with frequency distributions are histograms, line charts, bar charts and pie charts. The kurtosis of a frequency distribution is a measure of the proportion of extreme values (outliers), which appear at either end of the histogram.

A histogram is an accurate representation of the distribution of numerical data.

### Frequency (statistics)

**frequencyrelative frequencyrelative frequencies**

Each entry in the table contains the frequency or count of the occurrences of values within a particular group or interval.

The values of f_i for all events i can be plotted to produce a frequency distribution.

### Central tendency

**LocalityLocality (statistics)Measure of central tendency**

This assessment involves measures of central tendency or averages, such as the mean and median, and measures of variability or statistical dispersion, such as the standard deviation or variance.

A simple example of this is for the center of nominal data: instead of using the mode (the only single-valued "center"), one often uses the empirical measure (the frequency distribution divided by the sample size) as a "center".

### Contingency table

**cross tabulationcontingency tablescrosstab**

Bivariate joint frequency distributions are often presented as (two-way) contingency tables:

In statistics, a contingency table (also known as a cross tabulation or crosstab) is a type of table in a matrix format that displays the (multivariate) frequency distribution of the variables.

### Cumulative frequency analysis

**cumulative frequencyCumFreqfrequency distributions**

The presentation of all class frequencies gives a frequency distribution, or histogram.

### Count data

**countcount type response variable datacounting statistics**

### Statistics

**statisticalstatistical analysisstatistician**

In statistics, a frequency distribution is a list, table or graph that displays the frequency of various outcomes in a sample.

### Sampling (statistics)

**samplingrandom samplesample**

In statistics, a frequency distribution is a list, table or graph that displays the frequency of various outcomes in a sample.

### Variable (mathematics)

**variablesvariableunknown**

Here is an example of a univariate (single variable) frequency table.

### Line chart

**lineline graphCentralograph**

It is a way of showing unorganized data notably to show results of an election, income of people for a certain region, sales of a product within a certain period, student loan amounts of graduates, etc. Some of the graphs that can be used with frequency distributions are histograms, line charts, bar charts and pie charts.

### Bar chart

**bar graphgraphicalgraphical timeline**

It is a way of showing unorganized data notably to show results of an election, income of people for a certain region, sales of a product within a certain period, student loan amounts of graduates, etc. Some of the graphs that can be used with frequency distributions are histograms, line charts, bar charts and pie charts.

### Pie chart

**polar area diagrampiesunburst chart**

It is a way of showing unorganized data notably to show results of an election, income of people for a certain region, sales of a product within a certain period, student loan amounts of graduates, etc. Some of the graphs that can be used with frequency distributions are histograms, line charts, bar charts and pie charts.

### Marginal distribution

**marginal probabilitymarginalmarginals**

The total row and total column report the marginal frequencies or marginal distribution, while the body of the table reports the joint frequencies.

### Statistical hypothesis testing

**hypothesis testingstatistical teststatistical tests**

Statistical hypothesis testing is founded on the assessment of differences and similarities between frequency distributions.

### Average

**Rushing averageReceiving averagemean**

This assessment involves measures of central tendency or averages, such as the mean and median, and measures of variability or statistical dispersion, such as the standard deviation or variance.

### Mean

**mean valueaveragepopulation mean**

This assessment involves measures of central tendency or averages, such as the mean and median, and measures of variability or statistical dispersion, such as the standard deviation or variance.

### Median

**averagesample medianmedian-unbiased estimator**

### Statistical dispersion

**dispersionvariabilityspread**

### Standard deviation

**standard deviationssample standard deviationSD**

### Variance

**sample variancepopulation variancevariability**

### Skewness

**skewedskewskewed distribution**

A frequency distribution is said to be skewed when its mean and median are significantly different, or more generally when it is asymmetric.

### Symmetric probability distribution

**symmetricsymmetric distributionSymmetry**

A frequency distribution is said to be skewed when its mean and median are significantly different, or more generally when it is asymmetric.

### Kurtosis

**excess kurtosisleptokurticplatykurtic**

The kurtosis of a frequency distribution is a measure of the proportion of extreme values (outliers), which appear at either end of the histogram.

### Normal distribution

**normally distributedGaussian distributionnormal**

If the distribution is more outlier-prone than the Normal distribution it is said to be leptokurtic; if less outlier-prone it is said to be platykurtic.

### Letter frequency

**letter frequenciesfrequently used charactersfrequently used letters**

Letter frequency distributions are also used in frequency analysis to crack ciphers, and are used to compare the relative frequencies of letters in different languages and other languages are often used like Greek,Latin,etc.