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Cost: $285
Course taught by NIST-MEP Tri-State (Washington, Montana, Idaho) Food Processing Specialist, Catherine Cantley of TechHelp, and the University of Idaho
Course Description
This introduction to Statistics course will teach statistical thinking concepts that are essential to learning from data and communicating key insights to your organization, clients, or suppliers. Come join Catherine Cantley, extension professor at the University of Idaho and TechHelp processing specialist, as we explore the fundamentals of 'storytelling with data'... in a practical industry-based approach. She'll start with introductory statistics, so if you're a little rusty, don't fret. We'll cover these broad topics:
- Learn how to describe and display data
- Describe your data's central tendency with Means, Medians, Modes, Standard Deviations, and Histograms
- Understand key principles of sampling and how to calculate the necessary sample size to make strong, meaningful conclusions
- Discuss probability and how it applies to selecting the right test
- Learn and Apply: Conduct proportion analysis, t-tests, and set up basic experimental designs
- Conduct Analysis of Variance, learning when to use each type of multiple comparison post-hoc analysis
- Learn how to use excel for "low budget" data processing and get practice using a basic statistical package to speed up data analysis and graph creation
Who Should Take the Course:
Anyone with an interest in data analysis, experimental design, operational efficiencies, or market research, including:
- Production Leaders
- Continual Improvement Operators and Leaders
- Research and Development Scientists
- Data Scientists
- Marketers and Sellers
Pre-Requisites:
- Must know how to use a computer
- Must have basic comfort level with Microsoft excel, including familiarity with tabs and how to write a basic formula i.e. sum(A1:A10)