This page lists down 40 regression (linear/univariate, multiple/multilinear/multivariate) interview questions (in form of objective questions) which may prove to be…
The data science field is growing rapidly and data scientists are in high demand. If you want to enter this…
One sample Z-test for means is one of the statistical techniques used for testing hypothesis related to whether the sample…
Z-tests are statistical hypothesis testing techniques that are used to determine whether the null hypothesis relating to comparing sample means…
One proportion z-test or one-sample Z-test for proportion is one of the most popular statistical hypothesis tests dealing with one…
In this blog post, you can test your knowledge about Z-test, Z-statistics and related concepts through multiple choice questions (MCQs)…
In this post, you will learn the concepts of Z-Score with the help from examples including Christiano Ronaldo and Robert…
In this post, you will learn about some of the common success metrics that can be used for measuring the…
Hypothesis testing is a technique used to determine whether an assumption about the population is true. Null hypothesis and alternate…
In order to be successful in normal distribution interviews, you need a solid understanding of the normal distribution. This blog…
In hypothesis testing, the level of significance is a measure of how confident you can be about rejecting the null…
Many describe p-value as the probability that the null hypothesis holds good. That is an incorrect definition. The concept of…
This article describes Type I and Type II errors made due to incorrect evaluation of the outcome of hypothesis testing,…
Matplotlib is a matlab-like plotting library for python. It can create both 2D and 3D plots, with the help of…
Customer churn is a prevalent problem for many businesses. It can happen in several different ways, such as when customers…
In K-means clustering, elbow method and silhouette analysis or score techniques are used to find the number of clusters in…