Tabtrainer Minitab: One Sample Test Of Proportion

Tabtrainer Minitab: One Sample Test Of Proportion
Published 1/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

What you’ll learn

Conduct one-sample proportion tests to evaluate defect rates in production.

Calculate sample sizes using hypothesis power analysis for binomial data.

Apply binomial distribution to quality assurance and production analysis.

Differentiate between discrete and continuous data in statistical contexts.

Interpret p-values and power curves to validate hypothesis test outcomes.

Recommend data-driven quality improvement measures based on analysis.

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.

Description

Overview

Section 1: One-Sample Test of Proportion

Lecture 1 Introduction and Business Case for One-Sample test of Proportion

Lecture 2 The Binomial Distribution

Lecture 3 Determine the correct sample size

Lecture 5 One-Sample Proportion Test

Lecture 6 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.