Prerequisites For Econometric - The Best Course Ever

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Requirements
No prerequisites. Any students who is not able to understand econometrics because of not knowing the statistical base will benefit from the course.
Description
This course aims at making Economics students love and excel at Econometrics, by giving them an intuitive understanding of the statistical concepts that Econometrics is based. Often students dread Econometrics course at school or university, for they have lack understanding of the prerequisites. The course is meant for absolute bners. It is especially meant for students who are planning to take up econometrics and have no prior understanding of statistics. The course creates a solid base enabling intuitive understanding of econometrics. This course can especially prove to beneficial for undergraduate/graduate students who are struggling to keep up in their econometrics courses. The course does not require any prior understanding econometrics. Basic understanding of descriptive statistics can prove to be helpful, but is not mandatory.The course is meant for absolute bners. Students who are struggling with understanding econometrics or lack an intuitive understanding of econometrics, will benefit the most from this course. There are no mathematical prerequisites required. Post this course, students will be equipped with understanding of econometrics and advance statistics easily. Course is not just beneficial for students of economics, but shall prove to be beneficial for everyone who needs to learn intermediate statistics.This course focuses on starting from the very basics of probability theory and explains all probability distributions in depth, so as to equip students with understanding of statistics for better applications. Students who want to enter the field of research and would be requiring to use Econometric tools like Regression or ANOVA are recommended to take this course prior to taking up Econometrics.

Overview

Section 1: Introductory lesson

Lecture 1 Mean, Variance and Standard Deviation

Section 2: Probability Theory

Lecture 2 Lec1: Random Variable

Lecture 3 Lec2:Discrete vs Continuous Random Variable

Lecture 4 Lec3:Probability Distribution

Lecture 5 Lec4: Probability Distribution-Discrete vs Continuous

Lecture 6 Lec5:Bernoulli Distribution

Lecture 7 Lec6: Binomial Distribution

Lecture 8 Lecture 7: Binomial Distribution 2

Lecture 9 Lecture 8: Poisson Distribution

Section 3: Section 3: Continuous Distributions

Lecture 10 Lecture 9: Normal Distribution

Lecture 11 Lecture 10: Properties of Normal Distribution

Lecture 12 Lecture 11: Standard Normal Distribution

Lecture 13 Lecture 12: Other Continuous Distributions

Lecture 14 Lecture 13: Central Limit Theorem

Lecture 15 Lecture 14: Properties Of Distributions

Section 4: Hypothesis Testing

Lecture 16 Lecture 15: Hypothesis Testing ( Z test)

Lecture 17 One Tailed test

Lecture 18 t-test

Lecture 19 Chi square

Lecture 20 F-test

Undergraduate Economics students, High school students, Bners in Econometrics and Statistics

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