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What is PASS ?

PASS software provides an extensive array of tools for calculating sample sizes across more than 1,100 statistical tests and confidence interval scenarios, outpacing any other sample size software available in the market. Each tool has been rigorously validated through both published research and authoritative texts. You can explore PASS by signing up for a free trial, viewing the introductory video, or browsing the website. With over 25 years of continuous improvement, PASS has positioned itself as the preferred software for sample size calculations in clinical trials, pharmaceuticals, and a broad spectrum of medical research applications. Additionally, it has earned acclaim in various other fields where precise sample size determination is essential. PASS streamlines the process of calculating the necessary sample size for a statistical test or confidence interval in just a few straightforward steps. If you need help at any point, comprehensive documentation, free training videos, and access to a team of Ph.D. statisticians for expert assistance are readily available. This dedication to user support guarantees that researchers can effectively harness the software to fulfill their specific research requirements. Ultimately, PASS stands out not only for its functionality but also for its commitment to empowering users in their statistical endeavors.

What is ABTestly?

ABTestly serves as a powerful A/B testing tool tailored for teams that wish to execute experiments via coding rather than utilizing a graphical interface. Variations are developed using genuine JavaScript and CSS, allowing for seamless integration into your code repository and subjecting them to the same thorough review process as other code updates. The platform boasts a compact runtime of around 31 KB when gzipped, ensuring that users do not see a flash of the control version by delaying page rendering until the variation is completely applied. Rather than relying on a single estimated figure, ABTestly diligently monitors assignment, exposure, and conversion as three separate events in a detailed ledger, which improves the transparency of results. It also provides well-defined confidence intervals alongside sample sizes, avoids hasty announcements of winning variations, and detects any discrepancies in sample ratios, notifying users of potential concerns. With three statistical engines at its disposal, frequentist analysis is accessible for all plans, while sequential and Bayesian methods are exclusive to Pro plans and higher. Furthermore, a speed guardrail feature assesses the 75th percentile Largest Contentful Paint (LCP) in comparison to the control group, ensuring that performance metrics remain optimal. Clear pricing options are available, starting at $99 monthly for up to 50,000 tracked users, $249 for 200,000 users, and $549 for as many as 500,000 users, all with a 14-day trial included for monthly subscriptions, allowing teams ample opportunity to test the platform's capabilities. This approach not only enhances user experience but also fosters confidence in the results obtained from A/B testing initiatives.

Media

Media

No images available

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

$395 per year
Free Trial Offered?

Pricing Information

$99/month
Free Trial Offered?

Supported Platforms

Windows

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

NCSS

Date Founded

1983

Company Location

United States

Company Website

www.ncss.com/software/pass/

Company Facts

Organization Name

ABTestly

Date Founded

2025

Company Website

abtestly.com

Categories and Features

Statistical Analysis

Analytics
Association Discovery
Compliance Tracking
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

Categories and Features

AB Testing

Not specified

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