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Let’s say there are many vehicles on a long road. At each mile along the road, a checkpoint indicates the length traveled across the road.

You are given a list called <code>vehicles</code> which indicates the number of vehicles between each checkpoint. For example, the list <code>[7,4,3]</code> would mean that there are seven vehicles before the first checkpoint, four vehicles between the first and second checkpoints, and three vehicles between the second and third checkpoints.

Write a function <code>range_vehicles</code> that will give the number of vehicles between the <code>start</code> and <code>end</code> checkpoints.

Note: <code>start</code> may be <code>0</code>

Example:

Input:

<pre tabindex="0" class="chroma"><code>vehicles = [5, 6, 4, 2, 1]
start = 1
end = 3
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>range_vehicles(vehicles,start,end) -&gt; 10
</code></pre>

Counting Vehicles

Let’s say that your company is running a standard control and variant AB test on a feature to increase conversion rates on the landing page. The PM checks the results and finds a .04 p-value.

How would you assess the validity of the result?

Experiment Validity

Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.

What factors could have biased this result, and what would you look into?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

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