Statistical Analysis in Psychology

William Hill
8 min read
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Study Guide Overview
This AP Psychology study guide covers descriptive statistics, focusing on summarizing data with measures of central tendency (mean, median, mode) and variation (standard deviation, range). It explores correlation (positive, negative, and no correlation) and emphasizes the distinction between correlation and causation. The guide also discusses frequency distributions (normal, bimodal, positively/negatively skewed) and highlights the 68% and 95% rules for normal distributions. Finally, it touches on statistical significance.
#AP Psychology Study Guide: Statistics & Research Methods
Hey there, future AP Psych superstar! Let's break down the world of statistics and research methods. This guide is designed to be your go-to resource the night before the exam. We'll make sure you're not just memorizing, but understanding the concepts. Let's get started! 🚀
#Types of Statistics
It's all about how we use numbers! There are two main types of statistics:
- Descriptive Statistics: These are all about describing your data. Think of it as summarizing the key features of your data set. We'll be focusing on this in this study guide. 📊
- Inferential Statistics: This is where you start making inferences or drawing conclusions about a larger population based on your sample data. It's like detective work! 🕵️♀️
Key Difference: Descriptive stats describe data, while inferential stats interpret data.
#Summarizing Data
So, you've got data... now what? We use graphs and descriptive statistics to make sense of it all. 📈
#Measures of Central Tendency
These tell you about the 'center' of your data. Think of them as the typical or average values.
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Mean: The average. Add up all the values and divide by the total number of values. The mean is sensitive to outliers. 💡
- Formula: (where is the sum of all values and is the number of values)
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Median: The middle value when the data is ordered. Not affected by outliers. Perfect for skewed data! 🎯
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Mode: The most frequently occurring value. A dataset can have one mode (unimodal), two modes (bimodal), or more (multimodal). 👯
Mnemonic for Central Tendency: "Mean is mean to outliers, median is middle, mode is most." All start with 'M'!
Example: Let's use the dataset: 5, 10, 5, 7, 12, 15, 18
- Mode: 5 (appears twice)
- Mean: (5 + 10 + 5 + 7 + 12 + 15 + 18) / 7 = 10.29
- Median: First, order the data: 5, 5, 7, 10, 12, 15, 18. The median is 10. ### Measures of Variation
These tell you how spread out your data is. 📏
- Standard Deviation: How much the values in a dataset deviate from the mean. A low standard deviation means data is clustered close to t...

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