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Website A/B Testing Time Metrics
Data Science and Analytics
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About
Analyzing an A/B/C/D Test of Four Web Page Presentations. The data originates from a statistical textbook example and is designed to examine the outcomes of a marketing experiment. An e-commerce website facing low traffic introduced four distinct landing pages to improve user retention, often referred to as 'stickiness'. The dataset allows users to assess which presentation results in the greatest amount of time spent on the website by a user.
Columns
The dataset contains two key variables:
- Page: Identifies the specific web page presentation (Page 1, Page 2, Page 3, or Page 4 implied) viewed by the user. There are four unique values.
- Time: The duration, measured in seconds, that the user spent interacting with the web page during their session. Statistical analysis indicates the mean time spent is 174 seconds, with a standard deviation of 11.1.
Distribution
This is a small, focused dataset featuring 20 records in total, representing 20 visitors. Each of the four landing pages received 5 visitors. The data is provided in a CSV format, specified as
four_sessions.csv. As this material is derived from an educational context, it is static, and the expected update frequency is never.Usage
This data is ideally suited for practising foundational statistical methods, particularly those used in experimental design. Ideal use cases include calculating and comparing summary statistics across the four groups, conducting Analysis of Variance (ANOVA) to test for differences in mean time spent, and illustrating statistical significance testing in a real-world web performance context.
Coverage
The scope of the data is limited strictly to the variables involved in the testing scenario. It covers a single instance of testing web page effectiveness, focusing only on the time variable. No external geographic location, demographics, or longitudinal time series elements are included.
License
CC0: Public Domain
Who Can Use It
Intended users include data science students learning hypothesis testing, analysts in marketing evaluating conversion metrics, and statisticians needing a clean example of a multi-variant A/B test setup.
Dataset Name Suggestions
- Website A/B Testing Time Metrics
- Four-Session Web Experiment
- User Stickiness Data, E-commerce Landing Page Test Results
Attributes
Original Data Source: Website A/B Testing Time Metrics
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