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.

	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!
	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.
	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:

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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.