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Given an (integer) height <code>h</code> and base <code>b</code>, write a function <code>draw_isosceles_triangle</code> that returns the shape of the isosceles triangle using (a 2D list) of <code>0</code>s and <code>1</code>s, where <code>0</code> and <code>1</code> represent the space outside and inside of the triangle, respectively.

If the given height <code>h</code> and base <code>b</code> cannot make a triangle, return <code>None</code>.

Note: Valid arguments for <code>b</code> should be odd

Example 1

Input:

<pre tabindex="0" class="chroma"><code>h = 2
b = 3
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>draw_isosceles_triangle(h,b) -&gt; [
 [0,1,0],
 [1,1,1]
]
</code></pre>

Example 2

Input:

<pre tabindex="0" class="chroma"><code>h = 3
b = 9
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>draw_isosceles_triangle(h,b) -&gt; [
 [0,0,0,0,1,0,0,0,0],
 [0,0,1,1,1,1,1,0,0],
 [1,1,1,1,1,1,1,1,1]
]
</code></pre>

Example 3

Input:

<pre tabindex="0" class="chroma"><code>h = 5
b = 9
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>draw_isosceles_triangle(h,b) -&gt; [
 [0,0,0,0,1,0,0,0,0],
 [0,0,0,1,1,1,0,0,0],
 [0,0,1,1,1,1,1,0,0],
 [0,1,1,1,1,1,1,1,0],
 [1,1,1,1,1,1,1,1,1] 
]
</code></pre>

Example 4

Input:

<pre tabindex="0" class="chroma"><code>h = 9
b = 9
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>draw_isosceles_triangle(h,b) -&gt; None
</code></pre>

Write a function that returns the shape of an isosceles triangle.

Triangle as Binary Array

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?

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?

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