Course Outline
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segmentGetting Started (Don't Skip This Part)
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segmentStatistics and Data Science: A Modeling Approach
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segmentPART I: EXPLORING VARIATION
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segmentChapter 1 - Welcome to Statistics: A Modeling Approach
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segmentChapter 2 - Understanding Data
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segmentChapter 3 - Examining Distributions
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segmentChapter 4 - Explaining Variation
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segmentPART II: MODELING VARIATION
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segmentChapter 5 - A Simple Model
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segmentChapter 6 - Quantifying Error
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segmentChapter 7 - Adding an Explanatory Variable to the Model
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segmentChapter 8 - Digging Deeper into Group Models
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segmentChapter 9 - Models with a Quantitative Explanatory Variable
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segmentPART III: EVALUATING MODELS
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segmentChapter 10 - The Logic of Inference
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10.11 Chapter 10 Review Questions 2
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segmentChapter 11 - Model Comparison with F
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segmentChapter 12 - Parameter Estimation and Confidence Intervals
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segmentChapter 13 - What You Have Learned
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segmentFinishing Up (Don't Skip This Part!)
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segmentResources
list High School / Advanced Statistics and Data Science I (ABC)
Book
10.11 Chapter 10 Review Questions 2
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require(coursekata)
top_50_long <- read.csv("https://docs.google.com/spreadsheets/d/e/2PACX-1vTnNejzAPGLo_IgpbkWwjhUG7LGpJmHmIZ78AmT6tR2pgaUfApsOSQaLPMZ9oZ-bpSgvKGErmdaLKhz/pub?gid=1143384330&single=true&output=csv")
top_50 <- select(top_50_long, track_name, artist_name, genre, bpm, danceability, length, popularity)
# run your code hererequire(coursekata)
top_50_long <- read.csv("https://docs.google.com/spreadsheets/d/e/2PACX-1vTnNejzAPGLo_IgpbkWwjhUG7LGpJmHmIZ78AmT6tR2pgaUfApsOSQaLPMZ9oZ-bpSgvKGErmdaLKhz/pub?gid=1143384330&single=true&output=csv")
top_50 <- select(top_50_long, track_name, artist_name, genre, bpm, danceability, length, popularity)
# run your code here