Statistical Calculator

Enter your numbers or upload a file to perform statistical analysis.

Results

Enter data and click "Calculate" to see results.

Data Visualization

A histogram will appear here after you calculate statistics.

Hypothesis Testing (One-Sample T-Test)

Test if the mean of a sample is significantly different from a known or hypothesized population mean ($$\\mu_0$$).

Enter data in the main input and a hypothesized mean to run a test.

Linear Regression

Analyze the relationship between two variables, X and Y. The two data sets must have the same number of points.

Enter data for X and Y to calculate regression.

A scatter plot with the regression line will appear here.

Sample Size Determination

Calculate the minimum sample size required for a given confidence level and margin of error.

Enter values to calculate the required sample size.

User Guide

Here's a quick guide on how to use the calculator:

  • Descriptive Statistics: Enter a single dataset and click "Calculate Descriptive Statistics". This will provide metrics like mean, median, standard deviation, and a histogram.
  • Hypothesis Testing: Use the "Hypothesis Testing" section to perform a one-sample t-test. Enter a single dataset in the main input area, a hypothesized population mean, and a significance level, then click "Run T-Test".
  • Linear Regression: In the "Linear Regression" section, enter your X and Y values into the separate text boxes. Ensure both datasets have the same number of values, then click "Run Regression" to see the line of best fit.
  • Sample Size: Use the "Sample Size Determination" section to find the minimum number of samples needed for your study. Enter the confidence level, margin of error, and population standard deviation, then click "Calculate".

Frequently Asked Questions (FAQ)

What types of data can I use?

The calculator is designed for numerical data. It will automatically ignore any text or non-numeric characters in your input.

Why is the mode listed as "N/A"?

"N/A" is displayed when every number in the dataset appears only once. In this case, there is no value that appears more frequently than others.

How is the histogram created?

The histogram automatically groups your data into a number of "bins" (value ranges) and shows how many data points fall into each bin.