Statistical Insights with Graphs of Individual Data Values
As the saying goes, “a picture is worth a thousand words.” Similarly, a graph can be worth dozens of statistical calculations. Well-chosen graphical methods are an important part of successful data analysis. Graphs of individual data values provide insight into central tendency, variation, time trends, and correlation. This talk will introduce this valuable category of statistical graphics, show how specific graphical methods provide these insights and provide examples of each of these graphs.
Date and Time
Location
Hosts
Registration
- Date: 16 Jan 2024
- Time: 06:00 PM to 08:00 PM
- All times are (UTC-06:00) Central Time (US & Canada)
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- Co-sponsored by Angela Robinson
- Starts 15 December 2023 09:00 AM
- Ends 16 January 2024 05:30 PM
- All times are (UTC-06:00) Central Time (US & Canada)
- No Admission Charge
Speakers
Karen Hulting of Hulting Consulting LLC
Statistical Insights with Graphs of Individual Data Values
As the saying goes, “a picture is worth a thousand words.” Similarly, a graph can be worth dozens of statistical calculations. Well-chosen graphical methods are an important part of successful data analysis. Graphs of individual data values provide insight into central tendency, variation, time trends, and correlation. This talk will introduce this valuable category of statistical graphics, show how specific graphical methods provide these insights and provide examples of each of these graphs.
As a result of the session, participants will be able to
- Understand the insights available through graphs of individual data values
- Apply step-by-step methods to use spreadsheets and statistical software to create individual value plots, run charts, normal probability plots and scatterplots
- Apply tips and tricks for successful use of these key graphical tools.
Biography:
Karen Hulting is a statistician, coach, and teacher. Across 30+ years in the medical device and automotive industries, she has applied a broad range of statistical methods in manufacturing, R&D, and quality. Karen holds masters and PhD degrees in Statistics from Iowa State University and an undergraduate degree in Mathematics from St. Olaf College. She is a Fellow of the ASQ and an adjunct instructor in the St. Cloud State University graduate program in Medical Technology Quality.
Email:
Address:United States
Agenda
6:00 Networking
6:30 Speaker
8:30 Adjourn