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Update README.md #45

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5 changes: 3 additions & 2 deletions README.md
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Expand Up @@ -4,10 +4,10 @@ Welcome to Basemath, an open-source implementation of the statistical test beari
AB experiments.

Basemath employs a one-sided testing approach, where the null hypothesis posits that the treatment performs either
equally or worse than the control concerning the target metric. The test has a predetermined maximum runtime determined
equally or worse than the control concerning the target metric. The test has a predetermined maximum sample size determined
by the input parameters. Additionally, it ensures that both type I and type II errors remain below specified error
thresholds, denoted as α and β, respectively. Basemath assesses the experiment in batches and terminates prematurely
if it can reject the null hypothesis. The β-spending function employed is is O’Brien-Fleming-like.
if it can not reject the null hypothesis. The β-spending function employed is O’Brien-Fleming-like.
Given that the majority of experiments yield either flat or negative results, stopping early in this scenario saves more
running time compared to stopping in the less common case of a significant uplift.

Expand Down Expand Up @@ -61,6 +61,7 @@ bm_test.evaluate_experiment(
customer_delta_since_yesterday,
previous_visitor_number,
visitors_since_yesterday
)
```

The parameters for this method are:
Expand Down