Udemy

Platform

English

Language

Data Science

Category

Fundamentals Of Statistical Decision Making By Spotle

Learn the fundamentals of estimation, test of hypothesis, normality test, ANOVA, contingency table Chi square test

Fundamentals Of Statistical Decision Making By Spotle

Students

1.5 hours

Content

Jan 2021

Last Update
Regular Price


What you will learn

Statistical Estimation

Test Of Hypothesis

Normality Test

One-way ANOVA

Two-way ANOVA

Contingency Table

Chi square Test


Description

In this Spotle masterclass you will learn:

  • The concepts of statistical estimation, test of hypothesis, normality test, ANOVA, contingency table Chi square test explained through detailed videos

  • To conduct statistical tests with real-life examples

  • All concepts through exercises, solved problems

Your take-aways:

A solid foundation in statistical decision making to build a data science career.

ANOVA or Analysis of Variance is a group of statistical models to test if there exists a significant difference between means. It tests whether the means of various groups are equal or not. In ANOVA, the variance observed in a variable is partitioned into different components based on the sources of variation. An important fact to note is that while we use ANOVA to find out whether the means differ significantly, we compare the variances, hence the name – Analysis of Variance.

While studying test of hypothesis, we have seen how we can compare two means from two population. When we compare two or more than two means, we use ANOVA.

ANOVA is easy to compute and can be manually computed using simple algebra rather than complex matrix calculations. This was one of the reasons for its early popularity.

Following are the examples where ANOVA can be used.

A group of psychiatric patients are trying three different therapies: Counselling, medication and biofeedback. You want to see if one therapy is better than the others.

A manufacturer has two different processes to make light bulbs. They want to know if one process is better than the other.

Students from different colleges take the same exam. You want to see if one college outperforms the other.


Content

Statistical Inference - Estimation

Statistical Estimation

Test Of Hypothesis

Test Of Hypothesis

Normality Test

The Basics Of Normality Test

Test Of Normality - Part 2

Test Of Normality - Part 3

Analysis Of Variance

What Is ANOVA

Benefits And Practical Usage Of ANOVA

One-way ANOVA

Two-way ANOVA

Cross Tabulation And Chi Square Test

Contingency Table - Part 1

Contingency Table - Part 2


3761474

Udemy ID

1/9/2021

Course created date

2/4/2021

Course Indexed date
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