Course Outline
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segmentGetting Started (Don't Skip This Part)
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segmentStatistics and Data Science II
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segmentPART I: EXPLORING AND MODELING VARIATION
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segmentChapter 1 - Exploring Data with R
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segmentChapter 2 - From Exploring to Modeling Variation
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segmentChapter 3 - Modeling Relationships in Data
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segmentPART II: COMPARING MODELS TO MAKE INFERENCES
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segmentChapter 4 - The Logic of Inference
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4.11 Chapter 4 Review Questions 2
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segmentChapter 5 - Model Comparison with F
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segmentChapter 6 - Parameter Estimation and Confidence Intervals
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segmentPART III: MULTIVARIATE MODELS
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segmentChapter 7 - Introduction to Multivariate Models
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segmentChapter 8 - Multivariate Model Comparisons
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segmentChapter 9 - Models with Interactions
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segmentChapter 10 - More Models with Interactions
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segmentFinishing Up (Don't Skip This Part!)
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segmentResources
list High School / Statistics and Data Science II (XCD)
Book
4.11 Chapter 4 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 here
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 here