R Programming Project - Hypothesis Testing using R

Project - Hypothesis Testing using R

Catalog: R Programming
Short name: Hypothesis Testing using R
Course start date: 2024-07-02
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Description

Hypothesis testing refers to a process wherein an analyst tests a statistical hypothesis. The nature of the data and goal of analysis affect the methodology employed by the analyst/researcher. The basic goal of each researcher is to accept or reject the hypothesis, based on the measurements of observed samples. The decision, which is based on a statistical mechanism, is referred to as Hypothesis Testing. They have real world applicability and implications and assist in analyzing most collection of data.

Course Duration:-3h 11m

Sections

General
0 activities

Introducion to Course
Different Types of Hypothesis
Different Types of Hypothesis Continued
Steps in Doing Hypothesis Testing
7 Steps in Doing Hypothesis Testing Continued
One and Two Sample Hypothesis Tests
F Test in R with Codes and Example Part 1
F Test in R with Codes and Example Part 2
T Test in R with Codes and Example
T Test in R with Codes and Example Continued
Z test in R with Codes and Example
Linear Reg vs Anova
Oneway Anova Data
Oneway Anova Data Continues
Interpretation of Anova
Interpretation of Anova Continues
Simple and Multiple Linear Regression Basics
Linear Regression Datasets in R Explain
Assumptions of Linear Regression
Simple and Multiple Linear Regression in R
Simple and Multiple Linear Regression in R Continue
Course Certificate

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Cost: 5000

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Course Duration:-3h 11m