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Data Science- Hypothesis Testing Using Minitab and R

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  • 1,114 Students
  • Updated 5/2017
  • Certificate Available
4.2
(41 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
3 Hour(s) 56 Minute(s)
Language
English
Taught by
ExcelR EdTech
Certificate
  • Available
  • *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
4.2
(41 Ratings)
1 views

Course Overview

Data Science- Hypothesis Testing Using Minitab and R

Introduction to Hypothesis Testing, Performing Parametric and non parametric tests, Analysis of Variance

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 Content

  • 3 section(s)
  • 24 lecture(s)
  • Section 1 Hypothesis Testing
  • Section 2 Hypothesis Testing -Parametric Using Minitab
  • Section 3 Hypothesis Testing -Non Parametric Using Minitab

What You’ll Learn

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

Skills covered in this course


Reviews

  • S
    Shinu Abraham
    5.0

    really a good one. Please support with more stat materials like this. excellent. please share your email if it is ok. Mine is shinuabraham100@gmail.com

  • D
    Devyani Kalvit
    1.0

    This tutorial is incomplete. Many sections are missing - for example the last tutorial section after mood's median to compare the performance is missing! Can you please provide those?

  • U
    Uma Charan Maharatha
    5.0

    Concepts are explained very well. Its really helping me.

  • J
    Javier Rosales
    4.0

    Explica muy bien, aunque a veces muy repetitivo en los ejemplos

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