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Get a thorough understanding of the basics of Normal Distribution, Sampling and Central Limit Theorem

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Click on the ‘Curriculum tab’ to view the structure of the course. Some of the lectures are marked as ‘Free’, you may view these for free without buying the course.

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6 months from the date of purchase.

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Course Curriculum

Uniform and Normal Distribution
Introduction 00:00:00
Uniform DistributionFREE 00:00:00
Area as a measure of probability 00:00:00
Normal DistributionFREE 00:00:00
Characteristics of Normal DistributionFREE 00:00:00
Standard Normal Distribution 00:00:00
How to calculate probability using Cumulative Probability Table 00:00:00
2 important rules to remember 00:00:00
3 types of probability calculation 00:00:00
How to compute z-value when probability value is given 00:00:00
A different type of table to compute probability 00:00:00
How to calculate probability for any normal distribution 00:00:00
Application of normal distribution 00:00:00
Revisiting the application 00:00:00
Normal Distribution : Some Real Life Examples 00:00:00
Bonus Lecture – Normal Distribution using Microsoft Excel 00:00:00
Basics of Sampling and Intuition of Central Limit Theorem
Introduction to the Section 00:00:00
The Sampling Problem 00:00:00
Simple Random Sample- Finite Population 00:00:00
Simple Random Sample- Infinite Population 00:00:00
How to calculate the point estimators of population parameters? 00:00:00
Sampling Distribution 00:00:00
Properties of Sampling Distribution 00:00:00
Central Limit Theorem Explained 00:00:00
Why large samples are considered to be better predictors of population parameter? 00:00:00
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  • 250.00 per 6 months
  • 6 Months
59 STUDENTS ENROLLED
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