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Book 2: Describing Data
Curriculum
6 Sections
26 Lessons
10 Weeks
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Chapter 1: Getting Graphic
4
1.1
Finding Patterns
10 mins
1.2
Doing the Basics: Base R Graphics, That Is
10 mins
1.3
Kicking It Up a Notch to ggplot2
10 mins
1.4
Putting a Bow On It
10 mins
Chapter 2: Finding Your Center
7
2.1
Means: The Lure of Averages
10 mins
2.2
Calculating the Mean
10 mins
2.3
The Average in R: mean()
10 mins
2.4
Medians: Caught in the Middle
10 mins
2.5
The Median in R: median()
10 mins
2.6
Statistics à la Mode
10 mins
2.7
The Mode in R
10 mins
Chapter 3: Deviating from the Average
3
3.1
Measuring Variation
10 mins
3.2
Back to the Roots: Standard Deviation
10 mins
3.3
Standard Deviation in R
10 mins
Chapter 4: Meeting Standards and Standings
4
4.1
Catching Some Zs
10 mins
4.2
Standard Scores in R
10 mins
4.3
Where Do You Stand?
10 mins
4.4
Summarizing
10 mins
Chapter 5: Summarizing It All
5
5.1
How Many?
10 mins
5.2
The High and the Low
10 mins
5.3
Living in the Moments
10 mins
5.4
Tuning in the Frequency
10 mins
5.5
Summarizing a Data Frame
10 mins
Chapter 6: What’s Normal?
3
6.1
Hitting the Curve
10 mins
6.2
Working with Normal Distributions
10 mins
6.3
Meeting a Distinguished Member of the Family
10 mins
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