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A/B Testing

Algorithms

Analytics

Machine Learning

Probability

Product Metrics

Python

Statistics

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Say you are given a list of tuples where the first element is the slope of a line and the second element is the y-intercept of a line.

Write a function <code>find_intersecting</code> to find which lines, if any, intersect with any of the others in the given <code>x_range</code>.

Example:

Input:

<pre tabindex="0" class="chroma"><code>tuple_list = [(2, 3), (-3, 5), (4, 6), (5, 7)]
x_range = (0, 1)
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def find_intersecting(tuple_list, x_range) -&gt; [(2,3), (-3,5)]
</code></pre>

Write a function to find which lines, if any, intersect with any of the others in the given x_range.

Intersecting Lines

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

In an A/B test, how can you check if assignment to the various buckets was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

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