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AP
Statistics Pacing Guide
The
Practice of Statistics, 3rd ed., Yates, Moore, and Starnes
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AP Statistics 1st Semester
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Page
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Assignment
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6 days
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Preliminary Chapter: What Is Statistics?
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1
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Case
Study: Magnets and Pain; Activity:
Water, Water Everywhere!; Textbook preview (include Introduction &
Statistical Thinking and You)
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2
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Data Production: Where Do You Get Good Data
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3
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Data Analysis: Making Sense of Data
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4
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Probability: What Are the Chances?;
Statistical Inference: Drawing Conclusions
from Data
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5
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Review
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6
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TEST
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11 days
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Chapter
1: Exploring Data
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7
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1.1 Displaying Distributions with Graphs: Bar
graphs and pie charts for categorical variables; dotplots and stemplots for
quantitative variables
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8
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1.1 Displaying Distributions with Graphs:
Histograms—constructing and interpreting
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9
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1.1 Displaying Distributions with Graphs:
Ogives and time plots
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46
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1-4, 6-11, 13-15
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10
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M & M Activity: Descriptive statistics
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11
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1.2 Describing Distributions with Numbers:
measuring center
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12
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1.2 Describing Distributions with Numbers:
measuring spread with quartiles; boxplots and the 1.5IQR test for outliers
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13
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1.2 Describing Distributions with Numbers:
measuring spread with standard deviation; choosing measures of center and
spread
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14
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1.2 Describing Distributions with Numbers:
changing units of measurement; comparing distributions
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75
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29-32, 34, 37, 39, 40, 42, 43
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15
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Computer
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16
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Chapter Review
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17
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TEST on Chapter 1
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9 days
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Chapter
2: Describing Location in a Distribution
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18
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2.1 Measures of Relative Standing and Density
Curves: Measuring Relative Standing: z-scores
And Measuring Relative Standing: Percentiles
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19
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2.1 Measures of Relative Standing and Density
Curves:
Density Curves—mean and median
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118
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1-3, 5, 7-10, 12-16, 19, 20
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20
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2.2 Normal Distributions: the 68-95-99.7 rule
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21
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2.2 Normal Distributions: Standard Normal
Distribution and Finding a Value Given a Proportion
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22
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2.2 Normal Distributions: Normal Distribution
Calculations
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23
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2.2 Normal Distributions: Assessing Normality
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137
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23-26, 29, 30
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147
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31-39, 56, 57, 59
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24
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Computer
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25
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Chapter Review
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26
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TEST on Chapter 2
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12 days
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Chapter
3: Examining Relationships
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27
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3.1 Scatterplots and Correlation: Constructing
and interpreting scatterplots
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28
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3.1 Scatterplots and Correlation: Measuring
Linear Association: Correlation and Facts about Correlation
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173
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1, 4, 6, 7, 16, 18, 30, 34, 37
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29
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3.2 Least-Squares Regression: Interpreting
regression coefficients; prediction vs. extrapolation
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30
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3.2 Least-Squares Regression: Properties of
the least-squares line; interpreting computer output
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31
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3.2 Least-Squares Regression: how well the
model fits—residuals
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32
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3.2 Least-Squares Regression: how well the
model fits— ; facts about least-squares regression
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33
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M & M Activity: Least-squares regression
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34
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3.3 Correlation and Regression Wisdom:
Outliers and influential observations
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35
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3.3 Correlation and Regression Wisdom: Beware
the lurking variable
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220
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40, 43, 44, 48,
62, 64
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36
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Computer
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37
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Chapter Review
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251
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78, 79, 81, 82, 86
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38
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TEST on Chapter 3
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10 days
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Chapter
4: More about Relationships between Two Variables
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39
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Discuss
student projects for 1st semester
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40
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4.1 Transforming to Achieve Linearity:
transforming with powers and roots (no logarithms yet!)
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41
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4.1 Transforming to Achieve Linearity:
Exponential models—transforming with log y
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42
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4.1 Transforming to Achieve Linearity: Power
models—transforming with log x and
log y
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265
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1, 2, 6, 8, 12
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43
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M & M Activity: Decay Function Problem
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44
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4.2 Relationships between Categorical
Variables: Marginal and conditional distributions
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45
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4.2 Relationships between Categorical
Variables: Simpson’s Paradox
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298
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23-26, 29, 30, 38
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46
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4.3 Establishing Causation: Causation, common
response, and confounding
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312
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44-46, 50, 58
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47
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Chapter Review
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320
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1-10
(Extra Credit)
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48
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TEST on Chapter 4
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11 days
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Chapter
5: Producing Data
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49
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Student
projects
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50
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5.1 Designing Samples: Bad sampling methods
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51
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5.1 Designing Samples: Simple random samples
and other sampling methods (stratified and cluster sampling)
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52
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5.1 Designing Samples: Cautions about sample
surveys—undercoverage, nonresponse, and other sources of bias
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333
347
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#1-14
15-20, 26, 28
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53
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5.2 Designing Experiments: Terminology of
experiments and control
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54
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5.2 Designing Experiments: Completely
randomized design; randomization and replication
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55
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5.2 Designing Experiments: Blocking and blinding
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56
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5.2 Designing Experiments: Matched pairs
designs
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357
371
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33, 34, 36, 40, 43, 44
46, 48, 50
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57
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Computer
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58
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Chapter Review
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59
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TEST on Chapter 5
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13 days
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Chapter
6: Probability and Simulation: The Study of Randomness
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60
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6.1 Simulation: Using random digits
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61
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6.1 Simulation: Using a calculator or computer
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402
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8, 10, 12
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62
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6.2 Probability Models: probability as
long-run relative frequency
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63
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6.2 Probability Models: Sample space, events,
etc.
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64
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6.2 Probability Models: Probability rules
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65
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6.2 Probability Models: Independence and the
multiplication rule
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410
430
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22, 24, 28, 30, 32, 36, 38, 40, 44
45-47, 49, 50
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66
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6.3 General Probability Rules: general
addition rule
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67
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6.3 General Probability Rules: conditional
probability
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68
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6.3 General Probability Rules: Bayes’s Rule
and independence
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440
446
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65, 66, 68
72, 74, 76, 80, 82, 84, 90, 94
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69
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M & M Activity: Probability
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70
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AP Shirt Problem
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71
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Chapter Review
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72
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TEST on Chapter 6
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8 days
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Chapter
7: Random Variables
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73
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7.1 Discrete and Continuous Random Variables:
Discrete r.v.’s
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74
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7.1 Discrete and Continuous Random Variables:
Continuous r.v.’s
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475
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#7-9
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75
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7.2 Means and Variances of Random Variables:
mean and variance of a discrete r.v.
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76
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7.2 Means and Variances of Random Variables:
Law of large numbers
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77
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7.2 Means and Variances of Random Variables:
Rules for means and variances; combining Normal r.v.’s
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486
499
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23, 24, 26, 28, 32, 34
37, 38, 40, 42
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78
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Student projects
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79
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Chapter Review
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505
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54, 58, 60
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80
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TEST on Chapter 7
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Chapter
8: The Binomial and Geometric Distributions
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81
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8.1 The Binomial Distributions: Binomial
setting and binomial formula
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8.1 The Binomial Distributions: Binomial
probabilities and technology
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82
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8.1 The Binomial Distributions: Mean and
standard deviation; Normal approximation to the Binomial
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519
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8-24 even, 30
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83
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M & M Activity: M & M Toss
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84
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Review
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85
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Review
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86
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Review
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87
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Exams
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89
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Exams
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90
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Exams
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AP
Statistics 2nd Semester
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1
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8.2 The Geometric Distributions: Geometric
setting and calculating geometric probabilities; Activity 8B Mrs. Hathaway’s Homework offer
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2
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8.2 The Geometric Distributions: Mean and
standard deviation; simulating binomial and geometric situations
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544
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42, 43, 45, 48
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3
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M & M Activity: Geometric distribution
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4
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Chapter Review
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557
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60, 63, 64
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5
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TEST on Chapter 8
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12 days
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Chapter
9: Sampling Distributions
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6
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Student
2nd semester project
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7
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9.1 Sampling Distributions: parameters and
statistics; sampling variability
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8
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9.1 Sampling Distributions: Describing
sampling distributions—bias and variability
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570
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5, 7, 9, 10
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9
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9.2 Sample Proportions: sampling distribution
and Normal approximation
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588
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20-24 even
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10
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M & M Activity
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11
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9.3 Sample Means: mean and standard deviation;
Normal population
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12
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Activity: Cents and the Central Limit Theorem
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13
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9.3 Sample Means: developing the Central Limit
Theorem
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14
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9.3 Sample Means: calculations
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596
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32, 34, 36, 38
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15
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Computer
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16
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Chapter Review
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607
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47, 51, 53
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17
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TEST on Chapter 9
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9 days
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Chapter
10: Estimating with Confidence
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18
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10.1 Confidence Intervals: The Basics introduction to CIs
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19
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10.1 Confidence Intervals: The Basics Confidence interval for  when  is known; the
inference toolbox
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20
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10.1 Confidence Intervals: The Basics How confidence intervals behave;
Determining sample size; Cautions
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624
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1-3, 5, 10, 14-16
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21
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M & M Activity: Estimating population size
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22
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10.2 Estimating a Population Mean: the t distributions
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23
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10.2 Estimating a Population Mean: Paired t procedures
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649
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28, 31-33, 36
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24
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10.3 Estimating a Population Proportion the inference toolbox and determining
sample size
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669
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46-54 even
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25
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Chapter Review
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26
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TEST on Chapter 10
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11 days
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Chapter
11: Testing a Claim
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27
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Student
projects
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28
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11.1 Significance Tests: The Basics logic of significance tests and stating
hypotheses
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29
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11.1 Significance Tests: The Basics Conditions and calculations
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30
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11.1 Significance Tests: The Basics Interpreting results in context
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690
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1, 3, 4, 6, 9, 12, 14, 16
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31
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11.2 Carrying Out Significance Tests z test
for a population mean
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32
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11.2 Carrying Out Significance Tests Duality: tests and CIs
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710
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29-34
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33
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11.3 Use and Abuse of Tests
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721
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43-48
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34
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11.4 Using Inference to Make Decisions Type I and Type II error
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727
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50, 51, 54
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35
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11.4 Using Inference to Make Decisions Power
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36
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Chapter Review
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738
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65-73 odd
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37
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TEST on Chapter 11
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5 days
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Chapter
12: Significance Tests in Practice
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38
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12.1 Tests about a Population Mean The one sample t test
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39
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12.1 Tests about a Population Mean Paired t
tests
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754
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6, 8, 11, 13, 14
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40
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12.2 Tests about a Population Proportion
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770
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23-26
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41
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Chapter Review
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42
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TEST on Chapter 12
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8 days
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Chapter
13: Comparing Two Population Parameters
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43
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13.1 Comparing Two Means Two-sample t interval
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44
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13.1 Comparing Two Means Two-sample t test
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786
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6, 7, 8, 11, 13, 14
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45
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Activity: Frog Jump
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46
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13.2 Comparing Two Proportions Confidence intervals
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47
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13.2 Comparing Two Proportions Significance tests
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