Purpose
Enables Life Scientists to Understand the Purpose and Uses of Classical Statistics as an Integral Part of the Scientific Method
Topics Covered:
- Good experimental design and sources of bias.
- Systematic versus random error.
- The distinction between samples and populations.
- The most appropriate ways to describe samples.
- Estimation and the principle of hypothesis testing.
- The Standard Error of the Mean and confidence intervals.
- Understanding and reporting uncertainty.
- Power, Type I and type II errors.
- Standard parametric tests and their interpretations, including p-values, test statistics and associated distributuions.
Our Teaching Approach:
- Emphasises hands-on learning using custom interactive web apps that demonstrate statistical concepts in real-time.
- Uses in-class exercises and quizzes to reinforce student understanding.
- Implements a single story-line throughout the workshop allowing students to see how statistics is involved at every step of the scientific method
Science Craft’s Distinctive Advantage:
- A reference book written for the specific needs of life scientists who have little or no experience with using and understanding statistics.
- Workshop material developed in collaboration with a statistician currently active in research.
- Interactive web apps and video animations developed specifically for the workshop complement specific topics in the workshop.
The t distribution, another key distribution in classical statistics, is discussed in context.
Course Details
Duration: 2-3 full days
Maximum Capacity: 12 participants with one (or two) instructor(s)
Instructors: Dr. Rick Scavetta and/or Dr. Irina Czogiel
Maximum Capacity: 12 participants with one (or two) instructor(s)
Instructors: Dr. Rick Scavetta and/or Dr. Irina Czogiel
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Concepts in linear regression are explained with simple and easy-to-understand examples and visuals.