Mentor Classrooms

We were planning to venture a little beyond the standard theoritical text books towards imparting some practical knowledge on how data is used in today's world. This includes a broad range of aspects. We would like to know your take on that.

Meet Our Superstar Teacher At Pedagoge- Sibashis Sir - Pedagoge In his career as a teacher so far, he's happy that he could help some of the struggling students do well by making them believe that they could do it.

What Happens when the predictors in a Linear Regression Model are correlated : The Multicollinearity Problem In this article I make an attempt to explain the concept and consequences of Multicollinearity problem with the help of an example and carrying out a

Congratulations to our Mentor Debraj Kundu for being selected as a Junior Research Fellow in IIT, Roorkee. Wish you all the best on behalf of the entire team at Mentor Classrooms!

This weeks Questions (Statistics)
1. What is a time series?
2. What is an Autoregressive Model?
3. How would you determine the order of an Autoregressive Model?
4. What is ACF(Autocorrelation Function)?
5. What is PACF (Partial Autocorrelation Function)?
6. Define Lag.

Along with the couple of presentations that were uploaded in the recent past, this presentation includes all the relevant concepts that are required to understand before running an OLS in a Linear Regression Model.

Introduction to regression analysis 2 This presentation explains almost all the concepts that needs to be understood and developed before running an OLS in Regression analysis. The concept of Uncon…

Hypothesis Testing In this article, I am going to discuss in detail on most of the things that are associated with Hypothesis Testing, and I will do my best to help at

While learning and carrying out hypothesis tests we come across these few terms for sure, and I'm hoping anyone willing to take part in this discussion would know what each of these terms refer to. For those who don't, feel free to ask. I'll be more than happy to help. :)

1. Null Hypothesis
2. Alternative Hypothesis
3. Level of significance
4. Type I and Type II errors
5. Power of a test
6. Critical region
8. Z score
8. Critical value
9. P values
10. The conclusion that relates to either acceptance or rejection of Null Hypothesis.

Now i have an interesting question here. We know that if the value of the test statistic lie in the critical region we reject Null Hypothesis. So I would like to ask how do we decide upon the critical region?. A common answer that I would be expecting is setting the level of significance and depending upon the type of test that is being carried out (One-tailed or two-tailed) will set the critical values and hence make our life easier to conclude on our results. But I would like to imagine a situation where I would not know the level of significance (or not even be familiar with the term) and yet would like to decide upon whether to accept or reject the hypothesised value of the parameter. What would be my next best choice?.

Sibashis Chakraborty

Demonstration of the dashboard we will be building: Creating Excel Power Pivot and Power View Dashboards Join Ron Davis for an in-depth discussion in this video, Demonstration of the dashboard we will be building: Creating Excel Power Pivot and Power View Dashboards, part of Creating Excel Power Pivot and Power View Dashboards.

in Association with


Greetings from Value You & thank you for giving an opportunity to listen us.

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[email protected]
Or +91 9830435139

Class XI
Board: CBSE
Subject: Economics
Batch starts 18th May 2017, Thursday(tentatively).
Max Seats Available: 3.
Admissions Open till First week of June 2017.

Graduation (Final Year)
University: University of Calcutta
Subject: Economics (H)
Batch starts First week of June(tentatively).
Max seats Available: 3.
Admissions Open till mid of June 2017.

For Further Information Contact us at
Mobile: +91 9830435139 / +91 7278390932
Email: [email protected]