Advanced Statistics Calculator | Mean, Median, Mode & More

Advanced Statistics Calculator

Calculate comprehensive statistics including Mean, Median, Mode, Variance, Standard Deviation, Quartiles, and more.

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Input Numbers
Separate numbers with commas, spaces, or new lines. Decimals are supported.
Numbers Count: 0
Data Range: -
Status: Ready

About Statistical Measures

This calculator provides comprehensive statistical analysis including measures of central tendency, dispersion, and distribution shape.

Statistical Results
Mean
-
Average of all values
Median
-
Middle value when sorted
Mode
-
Most frequent value(s)
Variance
-
Average squared deviation
Std Dev
-
Square root of variance
Basic Statistics
Sum: -
Count: -
Minimum: -
Maximum: -
Range: -
Quartiles
Q1 (25th %): -
Q2 (Median): -
Q3 (75th %): -
IQR: -
Min
-
Q1
-
Q2 (Median)
-
Q3
-
Max
-

Frequency Distribution

Enter numbers to see frequency distribution
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How to Use the Advanced Statistics Calculator

1

Enter Your Dataset

Input your numbers in the text area using any of these formats:

  • Comma-separated: 5, 10, 15, 20
  • Space-separated: 5 10 15 20
  • New line-separated for better organization
  • Supports decimals, negatives, and large datasets

Tip: Use the example buttons to quickly test different datasets.

2

Calculate Comprehensive Statistics

Click "Calculate Statistics" to compute:

  • Central Tendency: Mean, Median, Mode
  • Dispersion: Variance, Standard Deviation
  • Distribution: Quartiles, IQR, Range
  • Basic Stats: Sum, Count, Min, Max

Note: For even-numbered datasets, median is the average of two middle values.

3

Understand Quartiles & IQR

Quartiles divide your data into four equal parts:

  • Q1 (First Quartile): 25th percentile
  • Q2 (Second Quartile): Median (50th percentile)
  • Q3 (Third Quartile): 75th percentile
  • IQR (Interquartile Range): Q3 - Q1

Pro Tip: IQR helps identify outliers in your data.

4

Interpret Variance & Standard Deviation

These measure data dispersion:

  • Variance: Average of squared differences from mean
  • Standard Deviation: Square root of variance
  • Higher values indicate more spread in data
  • Lower values indicate data points are closer to mean
5

Review Frequency Distribution

Check how often each value appears:

  • Identifies the most common values
  • Helps understand data distribution shape
  • Useful for identifying patterns and outliers

Note: The frequency list is sorted by occurrence count.

6

Download or Reset

After analysis:

  • Download comprehensive results as a text file
  • Reset to analyze a new dataset
  • Compare different datasets

Pro Tip: Use downloaded results for reports or further analysis.

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