In the first segment, you’ll be revising the concepts from the topic of distributions and sampling methods. Make sure that you go through them thoroughly.

So the major takeaway from the above video is to the main distinguishing factor between Bernoulli trials and Binomial Distribution is to identify the number of trials. Bernoulli trial refers to a single experiment only whereas a Binomial Distribution refers to multiple Bernoulli trials.

So the first thing before you can be sure that you’re inferring the correct results about the population from the given sample, we need to be sure that the given sample is a **random representative sample**.