Statistical Regularity
At present we are living in an age of data. Daily we generating a bulk of data and companies are trying to analyze them to understand our...
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Statistics for Everyone
Welcome to Statistics for Everyone
If you like logic, believe in dialect but don't like too much mathematical jargon then this is the right place for you.
Hi, I am Kuntal Bakuli and I teach at Banwarilal Bhalotia College. Here I will try to cover the topics for undergraduate students who have Statistics as a generic subject. Amid COVID 19 situation we need to continue our study. That's why I made this website to keep in touch with my students in the lockdown period. I have found that sometimes students get bored with too much mathematical stuff and miss the main flavor of the subject. I will try to explain most of the topics with relevant data analysis so that students can understand the purpose of the statistical tools.
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Classical Definition of Probability and Its Limitations
We assume that the total number of outcomes of the random experiment is finite, say N. We also assume all the outcomes are equally likely...
Probability Theory: Lecture Note 2 - Set and Set Operations part I
Introduction: A set is a collection of objects. The objects in a set are called elements of the set. A well–defined set is a set in which...
Testing of Hypothesis: Lecture note 2- Level of the test Level of significance Power of the test
From the previous lecture, it is clear that to make a certain decision about the null hypothesis on the basis of the data we need a...
Probability Theory - Lecture 1: Random Experiment , Outcome and Sample Space
What is a Random Experiment? a random experiment is a process by which we observe something uncertain. After conducting the experiment,...
Testing of Hypothesis- Lecture 1 (4th semester)
" Truth can be stated in a thousand different ways, yet each one can be true ..." - Swami Vivekananda Consider the following hypothetical...
Timeseries Analysis Practical - 3
1. The following table gives the production of Iron ore (in Lakh tonnes) in India from 1976 to 1979 for different quarters: Obtain the...
Time Series Analysis - Lecture note 5
The measure of Seasonal Indices 1) Ratio to trend method: This method is an improvement over the simple averages method and this method...
Time Series Analysis Practical – 2
Fit a linear and a parabolic trend to the following data of Rice production of India. Find the estimated Rice production for the year...
Time Series Analysis- Lecture note 4
Measurement of Trend using Method of Least Square This method is most widely used in practice. It is a mathematical method and with its...
Time Series Analysis- Practical 1 - Method of Moving Averages
Practical - Time Series Analysis– Method of Moving average 1. The following data show the annual rainfall (in millimetres) in the...
Time Series Analysis - Lecture Note 3
Measurement of Trend In time series analysis Trend is a long-term movement. This component represents the basic tendency of the series....
Time Series Analysis - Lecture Note 2
Components for Time Series Analysis The various reasons or the forces which affect the values of an observation in a time series are the...
Fourth Semester Statistics GE/Program Internal & External Practical Assignment
Internal Practical: Fourth Semester Statistics GE and Program Suppose you are counting the number of “a” per page in a book. You think...
Internal Practical – Home assignment for the second-semester students (Total marks: 30)
1. This is a practical problem of bivariate data analysis. In this problem first, you have to generate your own data by yourself. Then...
External Practical – Home assignment for the second-semester students (Total marks - 20)
1. Take a coin, construct the random variable X by tossing the coin such that X takes value 1 if heads appear and it takes the value 0 if...
Exercise: Testing of Hypothesis (for the students of fourth semester)
1. Suppose you are counting the number of misprints per page in a book. You want to check whether or not the average number of misprint...
Exercise: Discrete Random Variable
1) Three balls are chosen from an urn containing 3 white, 3 red, 5 black balls. Suppose we win Rs. 10 for each white ball and lose Rs. 10...
Understanding Random variable- a variable takes value with uncertainty.
Lecture note -3 Discrete Random variable: II In my previous lecture notes on “Random Variable”, the notions of a random variable and...
Take a video tour
Hello everyone, I am going to publish the lecture classes that will cover the syllabus of statistics generic course. I am requesting all...
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Thanks for your interest. For more information, feel free to get in touch and I will get back to you soon!
B.B.College, Asansol-713303
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