1. AP Exam Review Chapters 1-10
Exploring Data
AP Exam Review
Chapters 1-10

2. Garb and Graph Presentations
College Day!
Garb and Graph Presentations

3. Univariate
Data

4. Visualizing Distributions
Big Ideas
Visualizing Distributions
Categorical
Quantitative
Dot plots
Histograms
Bar Charts
Cumulative Relative Frequency Plots
(Ogives)
Pie Graphs
Stemplots
Boxplots

5. Comparing Distributions
Big Ideas
Comparing Distributions
Categorical
Quantitative
Dot plots
Either one above the other, or side by side
Histograms
Double Bar Charts
Cumulative frequency plots on the same grid
Back to Back Stemplots
Parallel Boxplots

6. Big Ideas
Describing Distributions C enter U nusual S hape S pread Center: Median or Mean Unusual Features: Clusters or Gaps Shape: Symmetric, Skewed (right or left), bell shaped, and uniform Spread: Standard Deviation or IQR (or Range, Variance, … )

7. Big Ideas
Other Important Vocabulary: Empirical Rule

8. Big Ideas
Other Important Vocabulary: Z-scores

9. Bivariate
Data

10. Big Ideas Quantitative Data ScatterPlots Form: Linear
F orm U nusual D irection S trength
Form: Linear
Unusual: Outliers and Influential Points
Direction: Positive or Negative
Strength: -1 to 1

11. Big Ideas
Evidence of an association is NOT evidence of Cause and Effect Relationship
Correlation is NOT affected by which variable is called x and which y or by changing units
Residuals = difference between observed and predicted
Regression line- minimizes the sum of the squares of the residuals
Mean of Residuals = 0 (Always)

12. Big Ideas
A pattern in residual plot indicates non-linear model may fit the data better than a line
Non-linear models can sometimes be studied by transforming one of both variables and then noting a linear relationship
Be able to read computer print out
Influential points are points whose removal would sharply change the regression line
Coefficient of Determination gives the percentage of variation in y that is accounted for by the variation in x

13. Two-Way contingency tables
Big Ideas
Categorical Data
Two-Way contingency tables
Marginal Distributions- Row and column totals lead to calculations of the marginal distribution
Conditional Distribution- focusing on single rows or columns leads to calculations of conditional distributions
Independence- All conditional relative frequency distributions are identical
Segmented Bar Charts
Always out of a whole

14. Big Ideas Simpson’s Paradox
Occurs when the results from a combined grouping seem to contradict the results from individual groups

15. Multiple
Choice

35. Free
Response

36. Exploring Data Packet 1. 2. 3. 4. 5. 6. 7. 8. 9.
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