Probability Interview Questions In Data Analysts’ Real Life

<p>Imagine you&rsquo;re a data analyst in a food delivery service. After every order, customers can rate the food&rsquo;s quality. The team&rsquo;s primary goal is to deliver top-tier service, and if a restaurant receives bad reviews, you need to check it. So, here&rsquo;s the big question &mdash; how many bad reviews should trigger a restaurant check-up?</p> <p>Sometimes, a restaurant can end up with some not-so-great feedback just occasionally, and it&rsquo;s not their fault. If a restaurant has handled 1000 orders, they might get a couple of bad reviews by chance.</p> <p>Think of it like this: about 5% of orders end up with negative reviews just by chance. Then the number of bad reviews per restaurant follows a Binomial distribution&nbsp;<em>Bin(n, p)</em>, with &ldquo;n&rdquo; being the orders and &ldquo;p&rdquo; the likelihood of a bad review (which is 5% in our case).</p> <p><a href="https://towardsdatascience.com/probability-interview-questions-in-real-life-of-data-analysts-0c8b5953abd8"><strong>Website</strong></a></p>