MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 4 Hours | Lec: 24 | 496 MB
Genre: eLearning | Language: English
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
Data_Science-_Hypothesis_Testing_Using_Minitab_and_R.part2.rar - 125.0 MB
Data_Science-_Hypothesis_Testing_Using_Minitab_and_R.part3.rar - 125.0 MB
Data_Science-_Hypothesis_Testing_Using_Minitab_and_R.part4.rar - 121.6 MB
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