STA13-B
Elementary Statistics
Fall 2007

Instructor: Katie Pollard

Email

s13b@wald.ucdavis.edu

Textbook

Statistics: The Exploration and Analysis of Data, 6th Edition
By Devore and Peck



Policies & Logistics

Syllabus (Please read carefully!)
Also look at slides from first day of class for details on class policies.

Lecture

DayTimeLocationInstructor
Monday (M)9:00-9:50amCHEM 194Katie Pollard
Wednesday (W)9:00-9:50amCHEM 194Katie Pollard
Friday (F)9:00-9:50amCHEM 194Katie Pollard

Discussion

SectionTimeLocationInstructor
B018:00-8:50amOLSON 205Jiani Mou
B028:00-8:50amOLSON 147Senke Chen
B032:10-3:00pmCHEM 166Lu Wang
B043:10-4:00pmCHEM 166Jiani Mou
B055:10-6:00pmHARING 2016Ming Zhong
B065:10-6:00pmWELLMAN 226Erin Esp
B076:10-7:00pmWELLMAN 226Erin Esp

All discussion sections meet on Thursday (R).

Office Hours

DayTimeLocationInstructor
Monday10:00-10:50amMSB 4220Katie Pollard
Tuesday11:00-11:50amMSB 1222Jiani Mou
Tuesday4:10-5:00pmMSB 1117Lu Wang
Tuesday5:10-6:00pmMSB 1117Senke Chen
Wednesday8:00-8:50amMSB 4220Katie Pollard
Wednesday10:00-10:50amMSB 1117Erin Esp
Thursday1:10-2:00pmMSB 1117Erin Esp
Friday11:00-11:50amMSB 1222Jiani Mou
Friday3:00-4:10pmMSB 1117Ming Zhong

Map of MSB=Mathematical Sciences Building

Finals week

* TA office hours: M 10-11am (MSB 1117), T 4-5pm (MSB 1117), W 11am-12pm (MSB 1222), R 12-1pm (MSB 1117), R 3:30-4:30pm (MSB 1117)
* Review session (SciLec 123): W 6-8pm
* Professor office hours (MSB 4220): R 11am-12pm

Assignments

DatesObjectivesReadingProblemsDueSolutions
9/28week 1Ch.1-21.8, 1.10, 1.16, 1.25,
2.4, 2.10, 2.15, 2.22, 2.28, 2.32, 2.44, 2.48		10/4Homework 1
10/1-10/5week 2Ch.3-43.12, 3.28, 3.34, 3.38,
4.2, 4.12, 4.14, 4.22, 4.24, 4.32, 4.46		10/11Homework 2
10/8-10/12week 3Ch.55.2, 5.12, 5.16, 5.26, 5.30, 5.40, 5.46, 5.50, 5.54, 5.6010/18Homework 3
10/15-10/19week 4Ch.6No homework--
10/22-10/26week 5Ch.76.2, 6.4, 6.6, 6.10, 6.12, 6.20, 6.22,
7.2, 7.6, 7.11, 7.12, 7.14, 7.18, 7.20		11/1Homework 4
10/29-11/2week 6Ch.87.24, 7.26, 7.32, 7.34, 7.42,
8.7, 8.8, 8.12, 8.16, 8.18, 8.20, 8.28, 8.30, 8.32, 8.34		11/8Homework 5
11/5-11/9week 7Ch.9No homework--
11/12-11/16week 8Ch.99.6, 9.9, 9.14, 9.20, 9.32, 9.34, 9.40, 9.42, 9.52, 9.55Wed
11/21		Homework 6
11/19-11/21week 9Ch.1010.2, 10.6, 10.8, 10.16, 10.20, 10.40, 10.42, 10.75,
10.80, 10.82		11/29Homework 7
11/26-11/30week 10Ch.1111.2, 11.6, 11.18, 11.22, 11.28, 11.40, 11.52, 11.58,
11.68, 11.76		12/6Homework 8
12/3-12/7week 11Ch.11No homework--

All homework problem sets are due Thursday (R) in section unless otherwise noted.

Lecture Notes

DateChapterSubjectsSlides
9/28Ch.1Course logistics
Population, sample, variables		Lecture 1
10/1Ch.2Sampling, bias, study designLecture 2
10/3Ch.2-3Experimental design, univariate plots,
frequency, relative frequency		Lecture 3
10/5Ch.3Cumulative relative frequency, density,
histograms, multivariate plots		Lecture 4
Computer code
Computer output
10/8Ch.4Mode, five number summary, boxplotsLecture 5
10/10Ch.4Mean, variance, standard deviation
z-scores, Chebychev’s & empirical rules		Lecture 6
Computer code
10/12Ch.5Bivariate data, transformations, correlationLecture 7
10/15Ch.5Linear regression model, least squaresLecture 8
10/17Ch.5Predicted values, residuals, model fitLecture 9
10/19Ch.6Sample space, event, rules of probabilityLecture 10
10/22Ch.6Estimating probabilities, mutually
exclusive events, additive rule		Lecture 11
10/24Ch.6Dependent vs. independent outcomes,
conditional probability, Bayes rule		Lecture 12
10/29Ch.7Population distributions, parameters,
normal distribution		Lecture 13
10/31Ch.7Standard normal tables, normal
distribution probability calculations		Lecture 14
11/2Ch.7Quantiles, percentiles, checking
normality, transformations		Lecture 15
11/5Ch.8Statistics, sampling variabilityLecture 16
11/7Ch.8Sampling distribution for sample mean
and proportion, central limit theorem		Lecture 17
11/9Ch.9Parameters, point esimates, bias,
efficiency, standard error		Lecture 18
11/14Ch.9Confidence interval for the
population proportion		Lecture 19
11/16Ch.9Confidence interval for the
population mean		Lecture 20
11/21Ch.9Bound on error of estimation, sample
size calculations		Lecture 21
11/26Ch.10Type I & II errors, Null & alternative
hypotheses, test statistics, p-values		Lecture 22
11/28Ch.10Hypothesis test for a sample
proportion		Lecture 23
11/30Ch.10Hypothesis test for a sample
mean		Lecture 24
12/3Ch.11Hypothesis test and CI for a
difference in proportions		Lecture 25
12/5Ch.11Hypothesis test and CI for a
difference in means		Lecture 26
12/7Ch.11More t-tests, paired tests, comparing two
treatments, causal infrernce		Lecture 27

Exams

ExamDateChaptersStudy GuideEquation SheetSolutions
Midterm 1F 10/26Ch.1-5Key WordsEquationsAnswer Key
Midterm 2M 11/19Ch.6-8Key Words
Practice Problems		Equations
N(0,1) Table		Answer Key
FinalF 12/14Ch.1-11Key Words
Practice Problems
Review Session Slides 		Equations
N(0,1) Table
t Table		Answer Key

Companion Website

Data, exercises, practice tests, software tutorials

* 6th edition
* 5th edition

Calculators

Tutorials

* Texas Instruments
* TI, Casio, HP, Sharp, others

Software

Minitab

* Free 30-day trial download
* Available in computer labs: 73 Hutchison, 93 Hutchison

R statistical programming language

* Free, open source software download
* Manuals

GraphPad

* Free demo software, online calculators download

Gnumeric - Excel clone

* Free, open source software download

Numsum - online, sharable spreadsheets

* Free account sign-up

Copyright

Federal and State copyrights are reserved by K.S. Pollard and The Regents of the University of California for all original material presented in this course through any medium, including lecture, print or via the internet.