| 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 | ||
| 1 -Power Analysis, Errors in Hypothesis Testing, and Sample Size Optimization.mp4 | 70.3 MB | ||
| 1 -Sample Size, Hypothesis Power, and Process Shifts.mp4 | 64.4 MB | ||
| 2 -Hypothesis Power, Sample Size, and Decision-Making.mp4 | 102.7 MB | ||
| 2 -Importing Data and Preliminary Statistical Analysis.mp4 | 18.4 MB | ||
| 3 -Summary of the Most Important Findings.mp4 | 11.4 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 | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B |
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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