Evaluating statistical claims
Kevin Lee
7 min read
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Study Guide Overview
This study guide covers interpreting statistical data (tables, charts, graphs), including bar graphs, line graphs, pie charts, and scatterplots. It also discusses bias and errors in research (selection, response, researcher bias, confounding variables), evaluating research methods (sampling techniques, experimental design), sample size and reliability, and assessing statistical conclusions (evidence strength, well-supported conclusions).
#🎯 AP SAT (Digital) Statistics Study Guide: The Night Before
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#📊
Interpreting Statistical Data
#Data Presentation Formats
- Data is everywhere: tables, charts, graphs, and even in plain text. 📝
- Tables: Think organized rows and columns. Great for comparisons. Make sure labels are clear and units are consistent.
- Charts & Graphs: Visuals that show patterns and trends. Different types for different data:
- Bar graphs: Compare categories.
- Line graphs: Show changes over time.
- Pie charts: Display parts of a whole.
- Scatterplots: Explore relationships between two variables.
Different types of charts and graphs
Always check the source, how the data was collected, and any potential biases. Are the scales manipulated? Is the data cherry-picked?
#Evaluating Data Validity
- Source: Where did the data come from? Is it reliable?
- Collection: How was the data gathered? Were the methods sound?
- Variables: Are they clearly defined? Are the units appropriate?
- Context: Do you have the full picture? What's missing?
- Watch out for: Distorted graphs, manipulated scales, and missing context. 🚩
#🤨
Bias and Errors in Research
#Types of...
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