22 Statistics Questions to Prepare for Data Science Interviews
Nail data science interviews with confidence, part 2
In my previous article, I discussed the machine learning questions to prepare for interviews:
In my next three articles, I present some practice questions in probabilities and preparing the case study and behavioral questions for data science interviews. Check them out here:
In this article, I will present the 22 questions in fundamental statistics that you may encounter during interviews.
1, What is Hypothesis Testing?
Hypothesis Testing is a method of statistical inference. Based on data collected from a survey or an experiment, you calculate what is the probability (p-value) of observing the statistics from your data given the null hypothesis is true. Then you decide whether to reject the null hypothesis comparing p-value and significance level. It is widely used to test the existence of an effect.
2, What is the p-value?
P-value is the probability of observing the data if the null hypothesis is true. A smaller p-value means a higher chance of rejecting the null hypothesis.
