We are standing in the last quarter of the year 2020. This year has been very difficult for the whole world. We did not know how to react to these weird situations. We did not know how to be efficient and productive in this pandemic. Something similar happened around 100…

Being a Statistician, i always admire the beauty of Statistics subject. Where it helps to forecast sales/profits/losses of an organization, it also helps to keep a check on mental health. Psychological Statistics helps to understand mental conditions and early detection of mental health related issues like depression. Predictive modelling can be used to predict mental health related issues. Psychological tests are designed in a technical way so that their score has a statistical significance as well. Statistics is just amazing!

Ever had confusion in understanding difference between General Linear Models and Generalised Linear Models? Then this blog might help you to clear this doubt. Generalised linear models try to explain relationship between mean response and independent variables with the help of a mathematical function which is known as link function in literature. These models can be used to model any type of dependent variable - categorical and continuous both. These models offer wide variety of link functions like logit for logistic regression model, log link for Poisson regression model, probit for Gaussian regression etcetera. Here is some handy information: Binary dependent: Logit link: Logistic Regression Count data (dependent variable): Log link: Poisson Regression

Ever wondered why Regression and ANOVA are studied separately while mathematical construct of both looks similar? If the above mentioned question popped up in your mind ever, this blog might help to answer this question. Mathematically, ANOVA might be considered as a special case of linear regression analysis in which all explanatory variables are categorical. From the application point of view, there is a lot of…

What is the difference between a statistical model and a mathematical model? Mathematical models explain functional relationship between y and x in non-random or non probabilistic environment. On the other hand, statistical models explain functional relationship between x and y in stochastic/ random/ probabilistic environment. The error term in a statistical model is responsible for introducing randomness.