Welcome to the Pitfalls in Statistics course. The primary goal of this course is to spotlight tricky circumstances that may lead to errors in statistical analysis.
From this course, participants with basic knowledge of research methods and statistical analyses will learn to identify misleading statistical markers, detect errors and put in measures to prevent these errors.
By acquiring these abilities, participants will improve the quality and reliability of their statistical analyses, leading to more robust research results.
After this course, you will be able to…
- Recognize why statistical errors can be challenging to identify.
- Identify misleading p-values and understand their limitations
- Explore essential tools that expose statistical errors
- Differentiate between data preparation and data manipulation
- Explore tools that correct and prevent unethical data manipulations
- Distinguish between maximizing statistical parameters and altering data to achieve good results
Course Features
- Lectures 10
- Quiz 0
- Duration Lifetime access
- Skill level All levels
- Language English
- Students 2
- Assessments Yes
Curriculum
- 2 Sections
- 10 Lessons
- Lifetime
Expand all sectionsCollapse all sections
- How do we spot statistical errors?4
- The slippery slopes of statistics – Getting what you want vs. getting what is there6
- 2.2Beware of relational assumptions and multiple comparisons5 Minutes
- 2.3Bias-free research is in the unseen1 Minute
- 2.4The double-edged sword of data preparation: ‘P-hacking’1 Minute
- 2.5Sample Selection and Size: Outliers vs. Cherry-Picking, Sampling vs. Inflation2 Minutes
- 2.6Multiple comparison1 Minute
- 2.7Walking the fine line between practicality and ethics5 Minutes
