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Lesson 1  Introduction to Statistical Research Methods 
Lesson 2  Visualizing Data 
Lesson 3  Central Tendency 
Lesson 4  Variability 
Lesson 5  Standardizing 
Lesson 6  Normal Distribution 
Lesson 7  Sampling Distributions 
Lesson 8  Estimation 
Lesson 9  Hypothesis Testing 
Lesson 10  tTests for Dependent Samples 
Lesson 11  tTests for Independent Samples 
Lesson 12  Intro to OneWay ANOVA 
Lesson 13  OneWay ANOVA: Test significance of differences 
Lesson 14  Correlation 
Lesson 15  Linear Regression 
Lesson 16  ChiSquared Tests 
Afterward  
Index 
Keep the standard deviation in the back of your head for the time being, and let’s move on to a different but related question. If you know a particular value, how can you describe how this value compares to others in the dataset?
For example, Katie plays competitive chess, and her United States Chess Federation rating is 1800. We know that the higher the number, the better the rating. But just how good is a rating of 1800? We could say that Katie’s rating is lower than 8110 other chess players, but we don’t know how many chess players exist in total.
A more descriptive way to compare a rating of 1800 to other ratings is to look at the distribution of ratings of other US players.
In this case, we get 88% by adding all the absolute frequencies for each bin up to a rating of 1800, and then dividing by the total number
of chess players. It’s easier to analyze proportions and percentages using relative, rather than absolute, frequencies.
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