Data Science- Hypothesis Testing Using Minitab and R

Data Science- Hypothesis Testing Using Minitab and R, available at $19.99, has an average rating of 4.15, with 24 lectures, based on 41 reviews, and has 1114 subscribers.

You will learn about Formulate Null and alternative hypothesis statement; perform Hypothesis testing techniques for various output and input types; Have an understating of "Analysis of Variance" This course is ideal for individuals who are Participants who want to take up a career in Data Analytics, Quality management and other allied fields It is particularly useful for Participants who want to take up a career in Data Analytics, Quality management and other allied fields.

Enroll now: Data Science- Hypothesis Testing Using Minitab and R

Summary

Title: Data Science- Hypothesis Testing Using Minitab and R

Price: $19.99

Average Rating: 4.15

Number of Lectures: 24

Number of Published Lectures: 24

Number of Curriculum Items: 24

Number of Published Curriculum Objects: 24

Original Price: $39.99

Quality Status: approved

Status: Live

What You Will Learn

Formulate Null and alternative hypothesis statement; perform Hypothesis testing techniques for various output and input types; Have an understating of "Analysis of Variance"

Who Should Attend

Participants who want to take up a career in Data Analytics, Quality management and other allied fields

Target Audiences

Participants who want to take up a career in Data Analytics, Quality management and other allied fields

Data Science – Hypothesis Testing using Minitab, R is designed to cover majority of the capabilities from Analytics & Data Science perspective, which includes the following:

Learn how to formulate a hypothesis statements with business context
Preform 2 sample t test for continuous output with discrete inputs in 2 categories
Using ANOVA for continuous outputs with more than 2 discrete categories of inputs
Performing 2 – proportion test for discrete output and discrete inputs in 2 categories
The Chi – Square test for discrete outputs with multiple discrete inputs�
Introduction to Non Parametric tests like: Mann Whitney test, Paired T test, Moods median Test and Tukey pairwise comparisons �
Learn about Hypothesis testing techniques & how to accomplish the same using R and Minitab

Course Curriculum

Chapter 1: Hypothesis Testing

Lecture 1: Hypothesis Testing Course Content

Lecture 2: Hypothesis Testing Introduction

Lecture 3: Hypothesis Testing Formulation

Lecture 4: Hypothesis Testing- Various Types of Tests

Chapter 2: Hypothesis Testing -Parametric Using Minitab

Lecture 1: 1 Sample Z- Test Part -1

Lecture 2: 1 Sample Z Test Part-2

Lecture 3: 1 Sample T Test

Lecture 4: 1 Sample Sign Test

Lecture 5: Paired T Test

Lecture 6: 2 Sample T-Test Part-1

Lecture 7: 2 Sample T-Test Part-2

Lecture 8: 2 Sample T-Test Part-3

Lecture 9: One Way ANOVA Part-1

Lecture 10: One Way ANOVA Part-2

Lecture 11: One Way ANOVA Part-3

Lecture 12: ANOVA-1,2, Multiple Way

Lecture 13: 2 Proportion Test

Lecture 14: Tukey Pairwise Comparisons Part-1

Lecture 15: Tukey Pairwise Comparisons Part-2

Lecture 16: Recap Of Hypothesis Testing

Chapter 3: Hypothesis Testing -Non Parametric Using Minitab

Lecture 1: Chi Square Test

Lecture 2: Mann Whitney Test

Lecture 3: Paired T Test Assumption

Lecture 4: Moods Median Test

Instructors

ExcelR Solutions
Pioneer in professional management trainings & consulting

Rating Distribution

1 stars: 2 votes
2 stars: 1 votes
3 stars: 3 votes
4 stars: 12 votes
5 stars: 23 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

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