Tabtrainer Minitab: One Sample Poisson Rate

Tabtrainer Minitab: One Sample Poisson Rate
Published 4/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

What you’ll learn

Total Occurrences and defect rates of poisson distributed data

Graphical derivation of the Poisson distribution

Interpreting the probability density of the Poisson distribution

Normal approximation in the context with the Poisson distribution

Determine total occurrences in Poisson distribution

Hypothesis definitions for poisson distributed data

Working with the sum function in the context of the Poisson distribution

Requirements

No Specific Prior Knowledge Needed: all topics are explained in a practical step-by-step manner.

Description

Overview

Section 1: Einführung

Lecture 1 Introduction and Business Case

Lecture 3 Choosing the Right Distribution: Why Poisson Fits Our Scenario

Lecture 4 From Sample to Population: Understanding the Poisson Approach

Lecture 5 Conducting a One-Sample Poisson Hypothesis Test to Assess Process Quality

Lecture 6 From Sample Insights to Population Estimates: Understanding λ or μ

Lecture 7 Making Decisions with Confidence: Interpreting the Poisson Hypothesis Test Resul

Lecture 8 Summary of the Most Important Findings

Quality Assurance Professionals: Those responsible for monitoring production processes and ensuring product quality will gain practical tools for defect analysis.,Production Managers: Managers overseeing manufacturing operations will benefit from learning how to identify and address quality issues effectively.,Six Sigma Practitioners: Professionals looking to enhance their expertise in statistical tools for process optimization and decision-making.,Engineers and Analysts: Individuals in manufacturing or technical roles seeking to apply statistical methods to real-world challenges in production.,Business Decision-Makers: Executives and leaders aiming to balance quality, cost, and efficiency in production through data-driven insights and strategies.