Our Stats Tools Bundle

Stats Test Advisor - Descriptive Stats Interpreter - Chi-Squared Calculator - Sample Size Calculator - Effect Size + Power Visualizer - Regression Assumption Checker

Statistical support without the usual confusion

Screenshot of a web-based tool for effect size and power visualization in t-tests, including test settings, a graph showing power changes with sample size, and a summary of the power analysis results.

Stats Pack

$19.99

One time

A practical bundle for psychology and social science students who want clearer statistical support without bouncing between calculators, guides, and guesswork. Includes tools to help with test selection, descriptive stats, chi-squared analysis, sample size, effect size, and regression assumptions.

✓ Choose the right statistical test faster

✓ Make sense of common outputs with less guesswork

✓ Check sample size, effect size, and assumptions more easily

✓ One-time purchase, no subscription

The Tools you’ll Get

Illustration of a brain inside a computer chip or circuit board.

An illustration of a microchip with a brain inside it, symbolizing artificial intelligence or cognitive computing.

Icon of a brain inside a microchip or circuit, representing artificial intelligence or neural networks.

Stats Test Advisor

Narrow down appropriate statistical tests for psychology and social science work based on your study design, data type, and analysis goal. It is built to reduce guesswork, not replace final judgment.

A stylized illustration of a brain inside a microchip.

Descriptive Stats Interpreter

Turn group means, standard deviations, and sample sizes into cleaner APA-style descriptive summaries for psychology and social science work. This tool helps with descriptive interpretation only. It does not replace inferential testing.

Chi-Squared Calculator

Run chi-squared tests for independence or goodness of fit, review the main results clearly, and generate a ready-to-use APA-style write-up for psychology and social science work.

Effect Size + Power Visualizer

Explore how effect size, sample size, alpha, and desired power interact for common t-tests. This tool helps you visualise the trade-offs before you decide what sample size is likely to be sensible.

A graphic of a computer chip with a brain symbol in the center.

A graphic illustration of a microchip with a brain symbol in the center, representing artificial intelligence or brain-computer technology.

Sample Size Calculator

Estimate the minimum sample size needed for common psychology and social science analyses using effect size, statistical power, and alpha. It is a practical planning tool, not a substitute for a full power analysis workflow in more complex designs.

Regression Assumption Checker

Work through the key assumptions of linear regression step by step, flag possible issues, and generate a clearer summary and APA-ready write-up support. This is a structured checking tool, not a substitute for inspecting your actual plots and diagnostics.

Case Study

Screenshot of the Original Matter Descriptive Stats Interpreter tool, showing sections for study details and group statistics, with input fields for reaction time, group names, means, standard deviations, and sample sizes, and a section with generated descriptive text about reaction times in control and experimental groups.

Meet Emily

First Year Psychology Student

Emily had the results, but not the time to turn a page of means, standard deviations, and sample sizes into a clear descriptive summary. Her write-up still needed structure, comparison, and wording that did not sound forced.

With the Original Matter Descriptive Stats Interpreter, she entered her group data, generated a cleaner summary, and moved straight back to writing.

Instead of losing time trying to phrase basic descriptive results neatly, Emily got text that looked clearer, more polished, and one step closer to being submission-ready.

Better test choices. Cleaner interpretation. Less panic.

Frequently Asked Questions

The Stats Pack includes the Stats Test Advisor, Descriptive Stats Interpreter, Chi-Squared Calculator, Sample Size Calculator, Effect Size + Power Visualizer, and Regression Assumption Checker.
It is built for psychology and social science students and educators who want help choosing tests, interpreting outputs, and checking common statistical decisions without bouncing between calculators, notes, and guesswork.
Is this a subscription?
No. The pack is designed to make common statistical tasks clearer and more manageable, especially if stats is the part of the assignment that usually turns slightly grim.
No. The tools are there to support your work, not make every decision for you. You should still check assumptions, course requirements, and the specifics of your own analysis before submitting.
Because manual stats work often means bouncing between lecture slides, half-clear websites, and rising irritation. The Stats Pack helps you get to a clearer starting point faster and spend less time second-guessing basic decisions.