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Six Sigma Statistics with Minitab - One Sample t-Test --> [ DevCourseWeb ]

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405.40 MB

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File	Size
Get Bonus Downloads Here.url	182.00 B
~Get Your Files Here !/1 - Introduction and Business Case for the One-Sample t-Test/1 -05_dataset_Compressive_strength_10_samples.xlsx	18.90 kB
~Get Your Files Here !/1 - Introduction and Business Case for the One-Sample t-Test/1 -Indroduction and Business Case for one samle t-test.mp4	8.90 MB
~Get Your Files Here !/1 - Introduction and Business Case for the One-Sample t-Test/2 -Importing Data and Preliminary Statistical Analysis.mp4	18.44 MB
~Get Your Files Here !/1 - Introduction and Business Case for the One-Sample t-Test/3 -Understanding Hypothesis Testing in the Context of Process Analysis.mp4	25.06 MB
~Get Your Files Here !/1 - Introduction and Business Case for the One-Sample t-Test/4 -Understand the Concept of Hypothesis Testing.mp4	46.53 MB
~Get Your Files Here !/1 - Introduction and Business Case for the One-Sample t-Test/5 -Hypothesis Testing with One-Sample t-Test and Normality Test.mp4	57.71 MB
~Get Your Files Here !/2 - Understanding Hypothesis Test Power and the Impact of Sample Size/1 -Power Analysis, Errors in Hypothesis Testing, and Sample Size Optimization.mp4	70.28 MB
~Get Your Files Here !/3 - Optimizing Hypothesis Testing with Sufficient Sample Size/1 -Sample Size, Hypothesis Power, and Process Shifts.mp4	64.41 MB
~Get Your Files Here !/3 - Optimizing Hypothesis Testing with Sufficient Sample Size/2 -Hypothesis Power, Sample Size, and Decision-Making.mp4	102.67 MB
~Get Your Files Here !/3 - Optimizing Hypothesis Testing with Sufficient Sample Size/3 -Summary of the Most Important Findings.mp4	11.38 MB
~Get Your Files Here !/Bonus Resources.txt	386.00 B

Description

[ DevCourseWeb.com ] Six Sigma Statistics with Minitab: One Sample t-Test

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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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