Udemy - Six Sigma Statistics with Minitab - One Sample t-Test

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[ DevCourseWeb.com ] Udemy - Six Sigma Statistics with Minitab - One Sample t-Test
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here ! 1 - Introduction and Business Case for the One-Sample t-Test
    • 1 -05_dataset_Compressive_strength_10_samples.xlsx (18.9 KB)
    • 1 -Indroduction and Business Case for one samle t-test.mp4 (8.9 MB)
    • 2 -Importing Data and Preliminary Statistical Analysis.mp4 (18.4 MB)
    • 3 -Understanding Hypothesis Testing in the Context of Process Analysis.mp4 (25.1 MB)
    • 4 -Understand the Concept of Hypothesis Testing.mp4 (46.5 MB)
    • 5 -Hypothesis Testing with One-Sample t-Test and Normality Test.mp4 (57.7 MB)
    2 - Understanding Hypothesis Test Power and the Impact of Sample Size
    • 1 -Power Analysis, Errors in Hypothesis Testing, and Sample Size Optimization.mp4 (70.3 MB)
    3 - Optimizing Hypothesis Testing with Sufficient Sample Size
    • 1 -Sample Size, Hypothesis Power, and Process Shifts.mp4 (64.4 MB)
    • 2 -Hypothesis Power, Sample Size, and Decision-Making.mp4 (102.7 MB)
    • 3 -Summary of the Most Important Findings.mp4 (11.4 MB)
    • Bonus Resources.txt (0.4 KB)

Description

Six Sigma Statistics with Minitab: One Sample t-Test

https://DevCourseWeb.com

Published 12/2024
Created by Prof. Dr. Murat Mola
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 9 Lectures ( 1h 21m ) | Size: 405 MB

Master Six Sigma Statistics with Minitab – Taught by Prof. Dr. Murat Mola, Germany's Professor of the Year!

What you'll learn
Understand the Importance of Sample Size: Learn how to determine the appropriate sample size to ensure sufficient hypothesis power in statistical tests.
Perform Hypothesis Power Analysis: Analyze the discriminatory power of a hypothesis test and its relationship to sample size and target differences.
Identify and Mitigate Errors: Gain insights into type 1 (producer risk) and type 2 (customer risk) errors and their implications for decision-making.
Interpret t-test, power curves, and confidence intervals to derive meaningful conclusions about process performance and c

Requirements
No Specific Prior Knowledge Needed: The course is suitable for beginners, as all topics are explained in a practical and step-by-step manner.



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405.4 MB
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Udemy - Six Sigma Statistics with Minitab - One Sample t-Test


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