Course Outline
- 
        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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                  10.10 Chapter 10 Review Questions
 
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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)
      
        
        
          
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  10.10 Chapter 10 Review Questions
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require(coursekata)
set.seed(7)
newborns <- sample(Gestation, 500)
newborns$inc <- recode(newborns$inc, "0-2500" = "$0-12,500", "2500-5000" = "$0-12,500", "5000-7500" = "$0-12,500", "7500-10000" = "$0-12,500", "10000-12500" = "$0-12,500", "12500-15000" = "$12,500-22,500", "15000-17500" = "$12,500-22,500", "15000+"  = "$12,500-22,500", "17500-20000" = "$12,500-22,500", "20000-22500" = "$12,500-22,500")
newborns$income <- factor(newborns$inc, levels = c("$0-12,500", "$12,500-22,500"))
newborns <- select(newborns, gestation, wt, age, ed, dage, ded, income, smoke)
newborns <- filter(newborns, smoke == "never"|smoke == "now")
newborns <- filter(newborns, income != "NA")
# run your code hererequire(coursekata)
set.seed(7)
newborns <- sample(Gestation, 500)
newborns$inc <- recode(newborns$inc, "0-2500" = "$0-12,500", "2500-5000" = "$0-12,500", "5000-7500" = "$0-12,500", "7500-10000" = "$0-12,500", "10000-12500" = "$0-12,500", "12500-15000" = "$12,500-22,500", "15000-17500" = "$12,500-22,500", "15000+"  = "$12,500-22,500", "17500-20000" = "$12,500-22,500", "20000-22500" = "$12,500-22,500")
newborns$income <- factor(newborns$inc, levels = c("$0-12,500", "$12,500-22,500"))
newborns <- select(newborns, gestation, wt, age, ed, dage, ded, income, smoke)
newborns <- filter(newborns, smoke == "never"|smoke == "now")
newborns <- filter(newborns, income != "NA")
# run your code here