• Skip to secondary menu
  • Skip to main content
  • Skip to primary sidebar
  • My Store
  • Glossary
  • Home
  • About Me
  • Contact Me

Statistics By Jim

Making statistics intuitive

  • Graphs
  • Basics
  • Hypothesis Testing
  • Regression
  • ANOVA
  • Probability
  • Time Series
  • Fun

quality improvement

Control Chart: Uses, Example, and Types

By Jim Frost Leave a Comment

What is a Control Chart?

Control charts determine whether a process is stable and in control or whether it is out of control and in need of adjustment. Some degree of variation is inevitable in any process. Control charts help prevent overreactions to normal process variability while prompting quick responses to unusual variation. Control charts are also known as Shewhart charts. [Read more…] about Control Chart: Uses, Example, and Types

Filed Under: Graphs Tagged With: quality improvement

Pareto Chart: Making, Reading & Examples

By Jim Frost Leave a Comment

What is a Pareto Chart?

A Pareto chart is a specialized bar chart that displays categories in descending order and a line chart representing the cumulative amount. The chart effectively communicates the categories that contribute the most to the total. Frequently, quality analysts use Pareto charts to identify the most common types of defects or other problems.

Learn how to use and read Pareto charts and understand the Pareto principle and the 80/20 rule that are behind it. I’ll also show you how to create them using Excel. [Read more…] about Pareto Chart: Making, Reading & Examples

Filed Under: Graphs Tagged With: choosing analysis, data types, interpreting results, quality improvement

Comparing Hypothesis Tests for Continuous, Binary, and Count Data

By Jim Frost 39 Comments

In a previous blog post, I introduced the basic concepts of hypothesis testing and explained the need for performing these tests. In this post, I’ll build on that and compare various types of hypothesis tests that you can use with different types of data, explore some of the options, and explain how to interpret the results. Along the way, I’ll point out important planning considerations, related analyses, and pitfalls to avoid. [Read more…] about Comparing Hypothesis Tests for Continuous, Binary, and Count Data

Filed Under: Hypothesis Testing Tagged With: choosing analysis, data types, interpreting results, quality improvement

Use Control Charts with Hypothesis Tests

By Jim Frost 17 Comments

Typically, quality improvement analysts use control charts to assess business processes and don’t have hypothesis tests in mind. Do you know how control charts provide tremendous benefits in other settings and with hypothesis testing? Spoilers—control charts check an assumption that we often forget about for hypothesis tests! [Read more…] about Use Control Charts with Hypothesis Tests

Filed Under: Hypothesis Testing Tagged With: assumptions, graphs, quality improvement

Lessons in Quality During a Long and Strange Journey Home

By Jim Frost Leave a Comment

Back in January of 2014, I didn’t expect that our family trip to Florida would end with me driving a plane load of passengers nearly 200 miles to their homes, but it did. [Read more…] about Lessons in Quality During a Long and Strange Journey Home

Filed Under: Fun Tagged With: quality improvement

Primary Sidebar

Meet Jim

I’ll help you intuitively understand statistics by focusing on concepts and using plain English so you can concentrate on understanding your results.

Read More...

Buy My Introduction to Statistics Book!

Cover of my Introduction to Statistics: An Intuitive Guide ebook.

Buy My Hypothesis Testing Book!

Cover image of my Hypothesis Testing: An Intuitive Guide ebook.

Buy My Regression Book!

Cover for my ebook, Regression Analysis: An Intuitive Guide for Using and Interpreting Linear Models.

Subscribe by Email

Enter your email address to receive notifications of new posts by email.

    I won't send you spam. Unsubscribe at any time.

    Follow Me

    • FacebookFacebook
    • RSS FeedRSS Feed
    • TwitterTwitter

    Top Posts

    • How to Interpret P-values and Coefficients in Regression Analysis
    • How To Interpret R-squared in Regression Analysis
    • Multicollinearity in Regression Analysis: Problems, Detection, and Solutions
    • Mean, Median, and Mode: Measures of Central Tendency
    • How to Find the P value: Process and Calculations
    • How to do t-Tests in Excel
    • Z-table
    • Choosing the Correct Type of Regression Analysis
    • How to Interpret the F-test of Overall Significance in Regression Analysis
    • One-Tailed and Two-Tailed Hypothesis Tests Explained

    Recent Posts

    • Slope Intercept Form of Linear Equations: A Guide
    • Population vs Sample: Uses and Examples
    • How to Calculate a Percentage
    • Control Chart: Uses, Example, and Types
    • Monte Carlo Simulation: Make Better Decisions
    • Principal Component Analysis Guide & Example

    Recent Comments

    • Gary on Statistical Significance: Definition & Meaning
    • Gregory C. Alexander on Use Control Charts with Hypothesis Tests
    • Jim Frost on Monte Carlo Simulation: Make Better Decisions
    • Gilberto on Monte Carlo Simulation: Make Better Decisions
    • Sultan Mahmood on Linear Regression Equation Explained

    Copyright © 2023 · Jim Frost · Privacy Policy