Introduction to Data Science Daily Overview: Unit 2
Unit 2
Daily Overview: Unit 2
Theme | Day | Lessons and Labs | Campaign | Topics | Page |
---|---|---|---|---|---|
What Is Your True Color? (10 days) |
1 | Lesson 1: What Is Your True Color? | Personality Color - data | Subsets, relative frequency | 117 |
2 | Lesson 2: What Does Mean Mean? | Personality Color | Measures of center – mean | 120 | |
3 | Lesson 3: Median In the Middle | Personality Color | Measures of center – median | 124 | |
4 | Lesson 4: How Far Is It from Typical? | Personality Color | Measures of spread – MAD | 128 | |
5 | Lab 2A: All About Distributions | Personality Color | Measures of center & spread – mean, median, MAD | 132 | |
6 | Lesson 5: Human Boxplots | Boxplots, IQR | 134 | ||
7 | Lesson 6: Face Off | Comparing distributions | 137 | ||
8 | Lesson 7: Plot Match | Comparing distributions | 140 | ||
9 | Lab 2B: Oh, the Summaries… | Personality Color | Boxplots, IQR, numerical summaries, custom functions | 143 | |
10 | Practicum: The Summaries | Food Habits or Time Use | Statistical questions, comparing distributions | 146 | |
How Likely Is It? (7 days) |
11 | Lesson 8: How Likely is It? | Probability, simulations | 150 | |
12 | Lesson 9: Bias Detective | Simulations to detect bias | 153 | ||
13 | Lesson 10: Marbles, Marbles | Probability, with replacement | 157 | ||
14 | Lab 2C: Which Song Plays Next? | Probability of simple events, do loops, set.seed() | 159 | ||
15 | Lesson 11: This AND/OR That | Compound probabilities | 162 | ||
16 | Lab 2D: Queue It Up! | Probability with & without replacement, sample() | 166 | ||
17 | Practicum: Win, Win, Win | Probability estimation through repeated simulations | 169 | ||
Are You Stressing or Chilling? (8 Days) |
18 | Lesson 12: Don’t Take My Stress Away | Stress/Chill – data | Introduction to campaign | 172 |
19 | Lesson 13: The Horror Movie Shuffle | Stress/Chill – data | Chance differences – cat var | 176 | |
20 | Lab 2E: The Horror Movie Shuffle | Stress/Chill – data | Inference for categorical variable, do loops, shuffle() | 180 | |
21 | Lesson 14: The Titanic Shuffle | Stress/Chill – data | Chance differences – num var | 183 | |
22 | Lab 2F: The Titanic Shuffle | Stress/Chill – data | Inference for numerical variable, do loops, shuffle() | 187 | |
23 | Lesson 15: Tangible Data Merging | Stress/Chill – data | Merging data sets | 189 | |
24 | Lab 2G: Getting It Together | Stress/Chill & Personality Color | Merging data sets, stacking vs. joining | 192 | |
25 | Practicum: What Stresses Us? | Stress/Chill & Personality Color | Answering statistical questions of merged data | 194 | |
What’s Normal? (5 Days) |
26 | Lesson 16: What Is Normal? | Introduction to normal curve | 197 | |
27 | Lesson 17: Normal Measure of Spread | Measures of spread - SD | 201 | ||
28 | Lesson 18: What’s Your Z-Score? | z-scores, shuffling | 204 | ||
29 | Lab 2H: Eyeballing Normal | Normal curves overlaid on distributions & simulated data | 220 | ||
30 | Lab 2I: R’s Normal Distribution Alphabet | Normal probability, rnorm(), pnorm(), quantiles, qnorm() | 212 | ||
Unit 2 Project (5 Days) |
31-35 | End of Unit Project and OralPresentations: Asking and AnsweringStatistical Questions of Our Own Data | Stress/Chill, Personality Color, Food Habits, or Time Use | Synthesis of above | 214 |
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