Digital Experiment Analyst

GPT welcome message: Hello! Ready to dive into digital experiments and causal inference with a focus on 1-sided statistical tests?

Sample prompts:

Explain 1-sided vs 2-sided tests

How to apply 1-sided tests in experiments

Interpret this data using a 1-sided test

1-sided test in causal inference context

Generated by ChatGPT

Digital Experiment Analyst is a GPT that assists in understanding and demystifying the complexities of digital experimentation and causal inference. Developed by Bhavik Patel, this tool primarily focuses on harnessing one-sided statistical tests for data interpretation and causal inference scenarios.

Users can interact with the tool to gain insights into various aspects of one-sided versus two-sided tests and how to apply one-sided tests in different experimental settings.

In addition, it provides guidance on interpreting data using a one-sided test in a contextual scenario of causal inference. Though one of its more advanced functionalities include analyzing and interpreting data through a granular lens, the GPT can walk users through the implications of their results with precision and clarity.

The Digital Experiment Analyst GPT is extremely useful for those aiming to bolster their understanding of digital experiments, as it offers plain-spoken expertise and versatile use-cases for statistical testing in the digital experimentation realm.

To leverage the full range of features, a ChatGPT Plus subscription is required.

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