APstats = Advanced Placement Statistics

Advance Placement Statistics is an elective course in which students develop major theories and techniques for collecting, analyzing, and drawing conclusions from data. Students will be exposed to four broad conceptual themes: exploring data, designing a study, anticipating patterns in advance, and statistical inference. Solving real-life problems that require the use of statistical inference and a combination of statistical techniques will be emphasized. Technology will be used to develop understanding and work on large datasets. Students will present, defend, and critique statistical arguments.

Students enrolled in this course are expected to take the CollegeBoard AP Statistics examination in the Spring. Student taking this course are required to have a TI-83+ or higher graphing calculator.

eSAG Moodle

Click here (or to the left on the Moodle icon) and find a record of all of the slides and problems as worked out on our Promethean whiteboard from each day of class, and much more!

ebook Click here (or to the left on the eBook icon) to navigate to our excellent online textbook. You will need your login name and password.
publisher's website Click here (or to the left on the &more icon) to navigate to additional online resources from our publisher: quizzes, statistical applets, and data sets. The reference tab above has even more.

Important Upcoming Events:

ground zero

The CollegeBoard AP Statistics exam will occur on the afternoon of Wednesday, May 11, 2011; check their overall schedule page for more information including fees & reductions.

Homework & other assignments

The following homework & other assignments should be turned in during class on each indicated day.

Day
Topic
Homework
#
8/25
Seniors: Assembly
Juniors: How Funny Is It ?
 Ø
1
8/26
Intro to AP Stats
 Ø
2
8/27
Class Survey
 Ø
3
8/30

Summer Reading discussion;
Case Study (Magnets)

Special Problem 0; syllabus ack;
Summer Reading Report
4
8/31
Data Analysis overview read pp 2-10; do P1-P5; Moodle login & message; watch AAO #1
5
9/1
Probability & Inference overview read pp 12-18; do P7-10
6
9/2
get books; Chapter P review read pp 21-30; do P18-28 even
7
9/3
no class: Navy Band
Ø
8
9/7
1.1 Data Display for Categorical
and Quantitative Variables

complete take-home quiz;
watch AAO #2

9
9/8
1.1 Histogram Construction and Interpretation read pp 37-46; do P1.2-1.6 even
read pp 48-54; do P1.8-1.12 even
10
9/9
1.1 Ogives and Time Plots

read pp 59-63; do P1.14-1.18 even
prepare one page of Ch 1.1 notes;
send me reaction time data

11
9/10
1.1 Quiz
1.2 Measuring Center
review Ch 1.1; do P1.20-1.26 even
12
9/13
1.2 Measuring Spread: quartiles, boxplots, outliers read pp 69-82; do P1.32-1.38 even
13
9/14
1.2 Measuring Spread: standard deviation & choosing measures read pp 84-88; do P1.40-1.44 even
14
9/15
1.2 Comparing Distributions & Quiz read pp 90-96; do P1.46-1.50 even
15
9/16
Chapter 1 Recap do P1.52-1.58 even
do Case Closed, pp 102-103
16
9/17
Chapter 1 Test nothing to turn in...suggested prep:
prepare notes, practice pp 106-111
17
9/20
2.1 Relative Standing, Density Curves, z-scores, percentiles

read pg 113, and pp 116-121;
do P2.2-2.8 even

18
9/21
2.1 Density Curves mean & median read pp 123-127;
do P2.10-2.14 even
19
9/22
review ch 2.1 & Chapter One test
begin ch 2.1 Normal Distribution
read pg 130, review ch 2.1;
do P2.16-2.20 even, try P2.21
20
9/23
2.1 quiz
2.2 Normal Distribution: 68-95-99.7
read pp 133-137;
do P2.24-2.28 even
21
9/24
2.2 Finding a Value Given a Proportion & Normal Calculations

read pp 139-146;
do P2.30-2.36 even

22
9/27
2.2 Assessing Normality read pg 153-154 and pp 148-152;
do P2.38-2.42 even
23
9/28
2.2 Assessing Normality
~
24
9/29
Chapter 2 Recap (by students) do Case Closed pg 160; do
P2.44-2.50even; turn in quiz 2.2
25
9/30
Chapter 2 Test prepare for test; see pp161-164
26
10/1
Chap 3 Examining Relationships
3.1 Constructing and Interpreting Scatterplots
read pg 169; pp 171-173;
do P3.2 & P3.4
27
10/4
3.1 Measuring and Interpreting Correlation read pp 174-179;
do P3.6-3.12 even
28
10/5

3.1 recap (take-home quiz)

read pp 184-193;
do P3.14-3.20 even
29
10/6
3.2 Least-Squares Regression:
prediction & extrapolation
return take-home quiz
read pp 199-203; P3.30 & P3.32
30
10/7
3.2 Computer Output and Properties of Least-Square Lines read pp 205-211;
do P3.34-3.38 even
31
10/8
3.2 LSR Model Fit - residuals read pp 214-220;
do P3.40-3.42 even
32
10/11
3.2 LSR Model Fit - r2 & LSR Facts read pp 223-227;
do P3.44-3.48 even
33
10/12
3.2 quiz
3.3 Outliers & Influential Data
read pp 233-237;
do P3.60-3.62 even
34
10/13
optional ch 2 recovery do P2.54-2.60 even
35
10/14
3.3 In-Class Activity read pp 239-242;
do P3.64-3.68 even
36
10/19
3.3 Lurking Variables
distribute take-home quiz 3.3
do P3.70-3.76 even
37
10/20
Chapter 3 Recap turn in take-home quiz 3.3
38
10/21
Chapter 3 Test study/prepare for ch 3 test
39
10/22
Chapter 4 More Two-Variable Relationships, intro read pp 259-265; do P4.2 & 4.4
40
10/25
4.1 Transforming to Achieve Linearity - powers and roots read pp 267-275;
do P4.6-4.10 even
41
10/26
4.1 Exponential Models - transforming with log y read pp 267-275;
do P4.12 & 4.14
42
10/27
4.1 Power Models - transforming with both log x and log y

review Ch 4.1;
do P4.16 & 4.18

43
10/28

4.2 Relationships between Categorical Variables

turn in take-home quiz 4.1;
read pp 292-297
44
10/29
4.2 Simpson's Paradox do P4.23 & 4.24-4.28 even;
population project; read pp299-301
45
10/29
4.2 more categorical tables do P4.30-4.40 even
46
and on to Q2...  
11/1
4.3 Causation, Common Response, and Confounding turn in take-home quiz 4.2;
read pp 305-311
47
11/2
Chapter 4 Recap do P4.42-4.48
48
11/3
Chapter 4 Test prepare for ch 4 test
49
11/4
Chapter 5 Producing Data read pp 329-332; do P5.2-5.8 even
50
11/5
5.1 Designing Samples (Bad Ones) read pp 334-341;
do P5.10-5.14 even
51
11/8
5.1 Random, Stratified, and Cluster Sampling read pp 343-347;
do P5.16-5.28 even
52
11/9
   
53
11/10
   
54
11/11
   
55
11/12
   
56

Late work will be penalized 10% for each day that it is overdue.

 

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