# Unit 1: Description

- Page ID
- 22187

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- 1: Introduction to Behavioral Statistics
- You might be tempted to skip this first chapter, but it includes lots of new vocabulary (or vocabulary that you know, but now they have technical definitions), so don't fall for that tempation!

- 2: What Do Data Look Like? (Graphs)
- Humans aren't good at looking at a bunch of numbers and figuring out what they mean. Instead, we should first look at the numbers as pictures. This chapter will discuss graphing.
- 2.1: Introduction to Looking at Data (This is what too many numbers looks like)
- 2.2: Frequency Tables
- 2.3: APA Style Tables
- 2.4: Graphing Qualitative Variables- Bar Graphs
- 2.5: Graphing Qualitative Variables- Pie Charts
- 2.6: Graphing Quantitative Variables
- 2.7: Skew and Kurtosis
- 2.8: Graphing Quantitative Data- Line Graphs
- 2.9: Graphing Quantitative Data- Histograms
- 2.10: Graphing Quantitative Data- Boxplots
- 2.11: Graphing Quantitative Data- Scatterplots
- 2.12: Summary and Some Honesty
- 2.13: APA Style Charts
- 2.14: Describing Data using Distributions and Graphs Exercises

- 3: Descriptive Statistics
- This chapter will show you how to describe a distribution of data with just a few numbers.
- 3.1: Introduction to Descriptive Statistics
- 3.2: Math Refresher
- 3.3: What is Central Tendency?
- 3.4: Interpreting All Three Measures of Central Tendency
- 3.5: Introduction to Measures of Variability
- 3.6: Introduction to Standard Deviations and Calculations
- 3.7: Practice SD Formula and Interpretation
- 3.8: Interpreting Standard Deviations
- 3.9: Putting It All Together- SD and 3 M's
- 3.10: Measures of Central Tendency and Variability Exercises

- 4: Distributions
- There are kinds of distributions of data that are so common that they have a name. Some distributions have special characteristics that are the underpinning of all of statistics.

- 5: Using z
- Our first statistical analysis to answer a research question!

- 6: APA Style
- You might know how to format a paper in MLA, but you're in the social sciences now!