HomeStatistics Calculator

Statistics Calculator

Online statistics calculator with descriptive stats, frequency distribution, regression analysis, normality checks, and t-test for study and analysis

Data Input


Descriptive Statistics

Sample Size

0

Mean

0

Median

0

Mode

None

Standard Deviation

0

Variance

0

Range

0

Interquartile Range

0

P25

0

P50

0

P75

0

P90

0


Distribution Analysis

Skewness

0

Symmetric distribution

Kurtosis

0

Normal kurtosis

Coefficient of Variation (CV)

0%

Low variation

Frequency Distribution

Recommended range: 3-20 bins.

IntervalCountFrequencyCumulative
No data

Probability Diagnostics

Normality Test (Jarque-Bera)

JB statistic: -

p-value: -

Insufficient sample size for normality judgment

Confidence Interval (95%)

Mean interval: [0, 0]

Outlier Detection (IQR)

No outliers detected


Regression Analysis


Hypothesis Test



Documentation

Key Features

  • Calculates descriptive metrics including mean, median, mode, standard deviation, variance, range, and IQR.
  • Builds grouped frequency tables with count, frequency, and cumulative frequency.
  • Includes Jarque-Bera normality testing, 95% confidence interval, and IQR outlier detection.
  • Supports linear regression and one-sample t-tests for quick study and analysis workflows.

How to Use

  • Paste numeric values in the input area using commas, spaces, or line breaks.
  • Use "Generate Sample" for demo data, or add one value through "Add Point".
  • Set frequency bin count between 3 and 20 for better grouped summaries.
  • Regression requires X values with the same length as Y values.
  • t-test supports two-tailed, left-tailed, and right-tailed options.

Use Cases

  • Statistics coursework, classroom labs, and exam preparation.
  • Survey review, distribution checks, and outlier screening.
  • Operational analysis with quick correlation and significance checks.

Notes

  • All calculations run locally in your browser.
  • With small samples, normality and significance outputs should be interpreted carefully.
  • For critical decisions, validate results with full statistical workflows.