> xzw{ D;bjbjzz .jD3LZt]K(0JJJJJJJ$MOKkkkKKk^JkJV23m
j2JK0]K2]P3&]P(33J]P4!vTD/<!!!KKY&!!!]Kkkkk]P!!!!!!!!! : STAT 2331 Introduction to Statistical Methods
JTerm 2014 (January 6 15, 2014)
Southern Methodist University
SMUinPlano Campus
Instructor: Dr. Tony Ng
Email: HYPERLINK "mailto:ngh@mail.smu.edu" ngh@mail.smu.edu
Office: 106 Heroy Science Hall
Phone: (214) 7682465
Office Hours: By appointment
Class Location: TBA
Class Time: 9:00a.m. 4:00p.m.
Required Textbook
David Moore, William I. Notz, Michael A. Fligner (2013). The Basic Practice of Statistics, 6th Edition, W. H. Freeman Company: New York.
Course Description
This course provides an introduction to statistics for behavioral, biological, and social scientists. In this course, we will learn about common techniques of basic statistical inference. Topics include descriptive statistics, probability, and inferential statistics, including hypothesis testing and contingency tables.
Course Overview
In this course we will learn about common techniques of basic statistical inference. One of the most important and a major focus of STAT2331 is the confidence interval and hypothesis testing. You will learn how to calculate these, how to interpret them, and how to use them with data. We will also examine their motivation.
Course Objectives
After this course, students should be able to:
use graphics and summary statistics to describe one or more variables
calculate leastsquared regression line and use it to do prediction
obtain marginal and conditional distributions from twoway table and use a systematic structure to explain Simpsons Paradox
design good sampling survey studies and experiments and avoid some common mistakes
manage the concepts of probability, discrete and continuous probability models and random variables, sampling distribution and central limit theorem
calculate confidence intervals and perform hypothesis testing, how to interpret them, and how to use them with data
Lectures and Attendance
Attendance is required. Failure to attend regularly will put your success in the course (and your grade) in serious jeopardy.Please participate in the lectures via questions, answers, and comments. It is also important to do the homework assignments.
Grading
Your grade will be determined as follows:
Exams (3 exams)50%Assignments35%The lowest score of all assignments will be dropped.Quizzes15%The lowest score of all quizzes will be dropped.TOTAL100%
A final percentage of 90% will guarantee at least an A, 80% guarantees at least a B, 70% guarantees at least a C, and 50% guarantees at least a D. There are NO EXTRA CREDIT opportunities available for this course, so make sure you understand what is required of you.
More details about the components of your grade:
Exams: Three (3) exams will be given in this class. Exams will cover material presented in class lectures, including textbook chapters, class discussions, and any other material assigned. NO MAKEUP EXAMS will be given, except in the case of a documented emergency or serious illness.
Assignments: During the JTerm you will be given several assignments to complete. In class assignments cannot be made up. Assignments to be completed outside of class are due at the beginning of class on the day they are due. Except in the case of a documented emergency or serious illness, NO LATE ASSIGNMENT WILL BE ACCEPTED.
Quizzes: A short quiz will be given at the end of each day and it is due at the beginning of class on the next day. THERE ARE NO MAKEUP QUIZZES.
Disability Accommodations
Students needing academic accommodations for a disability must first contact Disability Accommodations & Success Strategies (DASS) at 2147681470 or HYPERLINK "http://www.smu.edu/alec/dass.asp" www.smu.edu/alec/dass.asp to verify the disability and to establish eligibility for accommodations. They should then schedule an appointment with the professor to make appropriate arrangements. (See University Policy No. 2.4; an attachment describes the DASS procedures and relocated office.)
Religious Observance
Religiously observant students wishing to be absent on holidays that require missing class should notify their professors in writing at the beginning of the semester, and should discuss with them, in advance, acceptable ways of making up any work missed because of the absence. (See University Policy No. 1.9.)
Excused Absences for University Extracurricular Activities
Students participating in an officially sanctioned, scheduled University extracurricular activity should be given the opportunity to make up class assignments or other graded assignments missed as a result of their participation. It is the responsibility of the student to make arrangements with the instructor prior to any missed scheduled examination or other missed assignment for making up the work. (University Undergraduate Catalogue)
SMU Honor Code
The SMU Honor Code will be strictly enforced. Students caught giving or receiving unauthorized help on examinations will either be given a course grade of zero or taken before the Honor Council.
Tentative Schedule for STAT 2331 in Jterm 2014
January 6 (Monday)
9:00a.m. 9:40a.m. Course introduction
9:40a.m. 9:50a.m. Break
9:50a.m. 10:50a.m. Lecture (Chapter 1)
10:50a.m. 11:00a.m. Break
11:00a.m. 12:00noon Activities and inclass assignment (Chapter 1)
12:00noon 1:00p.m. Lunch
1:00p.m. 1:50p.m. Lecture (Chapter 2)
1:50p.m. 2:00p.m. Break
2:00p.m. 2:50p.m. Lecture and activities (Chapter 2)
2:50p.m. 3:00p.m. Break
3:00p.m. 4:00p.m. Inclass assignment (Chapter 2)
January 7 (Tuesday)
9:00a.m. 9:50a.m. Lecture (Chapter 3)
9:50a.m. 10:00a.m. Break
10:00a.m. 10:50a.m. Lecture and activities (Chapter 3)
10:50a.m. 11:00a.m. Break
11:00a.m. 12:00noon Inclass assignment (Chapter 3)
12:00noon 1:00p.m. Lunch
1:00p.m. 1:50p.m. Lecture (Chapter 4)
1:50p.m. 2:00p.m. Break
2:00p.m. 2:50p.m. Lecture and activities (Chapter 4)
2:50p.m. 3:00p.m. Break
3:00p.m. 4:00p.m. Inclass assignment (Chapter 4)
January 8 (Wednesday)
9:00a.m. 10:00a.m. Lecture (Chapter 5)
10:00a.m. 10:20a.m. Break
10:20a.m. 11:10a.m. Lecture (Chapter 5)
11:10a.m. 11:20a.m. Break
11:20a.m. 12:00noon Lecture and activities (Chapter 5)
12:00noon 1:00p.m. Lunch
1:00p.m. 1:50p.m. Inclass assignment (Chapter 5)
1:50p.m. 2:00p.m. Break
2:00p.m. 2:50p.m. Lecture (Chapter 6)
2:50p.m. 3:00p.m. Break
3:00p.m. 4:00p.m. Review on Chapters 15
January 9 (Thursday)
9:00a.m. 9:50a.m. Exam 1 (Chapters 15)
9:50a.m. 10:00a.m. Break
10:00a.m. 10:50a.m. Lecture and activities (Chapter 6)
10:50a.m. 11:00a.m. Break
11:00a.m. 12:00noon Inclass assignment (Chapter 6)
12:00noon 1:00p.m. Lunch
1:00p.m. 1:50p.m. Lecture (Chapter 8)
1:50p.m. 2:00p.m. Break
2:00p.m. 2:50p.m. Lecture (Chapter 9)
2:50p.m. 3:00p.m. Break
3:00p.m. 4:00p.m. Inclass assignment (Chapters 8 and 9)
January 10 (Friday)
9:00a.m. 10:00a.m. Lecture (Chapter 10)
10:00a.m. 10:20a.m. Break
10:20a.m. 11:10a.m. Lecture and activities (Chapter 10)
11:10a.m. 11:20a.m. Break
11:20a.m. 12:00noon Inclass assignment (Chapter 10)
12:00noon 1:00p.m. Lunch
1:00p.m. 1:50p.m. Lecture (Chapter 11)
1:50p.m. 2:00p.m. Break
2:00p.m. 2:50p.m. Lecture (Chapter 11)
2:50p.m. 3:00p.m. Break
3:00p.m. 4:00p.m. Lecture and activities (Chapter 11)
Inclass assignment (Chapter 11)
January 13 (Monday)
9:00a.m. 9:50a.m. Review on Chapters 6, 8, 9 and 10
9:50a.m. 10:00a.m. Break
10:00a.m. 10:50a.m. Exam 2 (Chapters 6, 8, 9 and 10)
10:50a.m. 11:00a.m. Break
11:00a.m. 12:00noon Lecture (Chapter 14)
12:00noon 1:00p.m. Lunch
1:00p.m. 1:50p.m. Lecture (Chapter 14)
1:50p.m. 2:00p.m. Break
2:00p.m. 2:50p.m. Lecture and activities (Chapter 14)
2:50p.m. 3:00p.m. Break
3:00p.m. 4:00p.m. Inclass assignment (Chapter 14)
January 14 (Tuesday)
9:00a.m. 9:50a.m. Lecture (Chapter 15)
9:50a.m. 10:00a.m. Break
10:00a.m. 10:50a.m. Lecture and activities (Chapter 15)
10:50a.m. 11:00a.m. Break
11:00a.m. 12:00noon Inclass assignment (Chapter 15)
12:00noon 1:00p.m. Lunch
1:00p.m. 1:50p.m. Inclass assignment (Chapter 15)
1:50p.m. 2:00p.m. Break
2:00p.m. 2:50p.m. Lecture (Chapter 16)
2:50p.m. 3:00p.m. Break
3:00p.m. 4:00p.m. Inclass assignment (Chapter 16)
January 15 (Wednesday)
9:00a.m. 10:00a.m. Review on Chapters 11, 14, 15 and 16
10:00a.m. 10:10a.m. Break
10:10a.m. 11:10a.m. Exam 3 (Chapter 11, 14, 15 and 16)
11:10a.m. 11:30a.m. Break
11:30a.m. 12:00noon Lecture (Chapter 18)
12:00noon 1:00p.m. Lunch
1:00p.m. 1:50p.m. Lecture (Chapter 19)
1:50p.m. 2:00p.m. Break
2:00p.m. 2:50p.m. Inclass assignment (Chapters 18 and 19)
2:50p.m. 3:00p.m. Break
3:00p.m. 4:00p.m. Course Review
Topics for each chapter:
Chapter 1 Picturing distributions, Histogram, stemplot, mean, median
Chapter 2 Variability using standard deviation, IQR
Chapter 3 Normal distributions
Chapter 4 Scatterplots, correlation
Chapter 5 RegressionChapter 6 Twoway tables, Simpson's paradox
Chapter 8 Sampling
Chapter 9 ExperimentsChapter 10 Randomness and probability, random variables
Chapter 11 Probability distributions, sampling distribution, central limit theorem
Chapter 14 Confidence Intervals: The Basics
Chapter 15 Tests of Significance: The Basics
Chapter 16 Inference in Practice
Chapter 18 Inference about a Population Mean
Chapter 19 TwoSample Problems
Student Learning Outcomes (SLO)
The five Quantitative Foundation Student Learning Objectives (denoted QFSLO 1 5) are listed here:
QFSLO 1: Students will be able to interpret mathematical models described by formulas, graphs, tables, or schematics.
QFSLO 2: Students will be able to solve problems using algebraic, geometric, calculus, statistical and/or computational methods.
QFSLO 3: Students will be able to determine correctness, reasonableness, identify alternatives, and select optimal results in mathematical problems.
QFSLO 4: Students will be able to draw inferences from mathematical models in the various forms listed above.
QFSLO 5: Students will be able to present calculations and results in a clear and concise manner.
STAT 2331 Student Learning Objectives
After learning each chapter, the students should be able to
Chapter 1: Picture distributions for categorical and quantitative variables (Primary: QFSLO 1; Secondary: QFSLO 2)
Chapter 2: Calculate mean, standard deviation, five number summary and interquantile range (Primary: QFSLO 1; Secondary: QFSLO 2)
Chapter 3: Find percentage points or proportions for any normal distribution using 689599.7 rule or Table A (Primary: QFSLO 2; Secondary: QFSLO 1 and 5)
Chapter 4: Use scatter plots to display dataset with two variables and calculate correlation coefficient (Primary: QFSLO 1 and 2; Secondary: QFSLO 3, 4 and 5)
Chapter 5: Calculate leastsquared regression line and use it to do prediction; be caution when using regression and correlation (Primary: QFSLO 2 and 3; Secondary: QFSLO 5)
Chapter 6: Obtain marginal and conditional distributions from twoway table and use a systematic structure to explain Simpsons Paradox (Primary: QFSLO 2 and 3; Secondary: QFSLO 4 and 5)
Chapter 8: Design a good sampling survey and avoid some common mistakes in sampling survey (Primary: QFSLO 3; Secondary: QFSLO 5)
Chapter 9: Design a good experiment; explain the concepts of double blind experiments (Primary: QFSLO 3; Secondary: QFSLO 5)
Chapter 10: Manage the concepts of probability, discrete and continuous probability models and random variables. Find probabilities for discrete and continuous random variables (Primary: QFSLO 1 and 2; Secondary: QFSLO 5)
Chapter 11: State and explain the law of large numbers, manage the concepts on sampling distribution, apply central limit theorem (Primary: QFSLO 1 and 2; Secondary: QFSLO 5)
Chapter 14: Explain the concepts and use the terminologies of confidence interval and hypothesis testing. Calculate, interpret and use confidence interval with data. Explain the behavior of confidence intervals (Primary: QFSLO 3 and 4; Secondary: QFSLO 5)
Chapter 15: Explain the concepts and use the terminologies of hypothesis testing. Perform and interpret statistical hypothesis testing with data (Primary: QFSLO 3 and 4; Secondary: QFSLO 5)
Chapter 16: State and explain the conditions for inference in practice. Cautions about confidence interval and hypothesis testing. Calculate the required sample size for a study for specified values of margin of error and confidence level (Primary: QFSLO 3; Secondary: QFSLO 2 and 5)
Chapter 18: Use Table C to find percentage points for tdistributions. Calculate confidence intervals and test statistical hypothesis for a single population mean(Primary: QFSLO 3 and 4; Secondary: QFSLO 5)
Chapter 19: Calculate confidence intervals and test statistical hypothesis for two population means(Primary: QFSLO 3 and 4; Secondary: QFSLO 5)
.0189CDHINOQov 0 2 3 B C F G R g h j q ·©ɛhk&h\5>*hk&h\5>*B*\ph hk&5 hnJ5h\h\0Jjh\h\Ujh\h\Uh\h\h\h\5h\CJaJhRihnJh\h\hh\h.h\h.5CJaJ/.Qo 2 3 G g h {
Z[kl$7$8$H$a$gdA 7$8$H$gdnJ$a$gd{k 7$8$H$gd\$7$8$H$a$gd\q y {
Z[bjklXYqrqrz{?@LN]^_Ż췤̤̤̑̑h.hnJh. h\5hnJh\hnJh> hnJ5hnJhnJhnJhk&hnJ5>*h\h>h\h>5h\h>6hk&h{kh{kmH sH hk&h\5>*hk&h>5>*7;
PYqrqr{$$7$8$H$Ifa$gdnJ
$7$8$H$Ifgd\$7$8$H$a$gd\$
&F7$8$H$a$gdA$7$8$H$a$gdA 7$8$H$gdnJ 7$8$H$gd\dVEV$$7$8$H$Ifa$gdnJ
$7$8$H$Ifgd\kd$$IfT
F
033333333!633333333333333333333333334abytk&T
?dVEV$$7$8$H$Ifa$gdnJ
$7$8$H$Ifgd\kd$$IfT
F
033333333!633333333333333333333333334abytk&T?@FKLdVEV$$7$8$H$Ifa$gdnJ
$7$8$H$Ifgd\kd[$$IfT
F
033333333!633333333333333333333333334abytk&TLMN^_d[OF[9
&F7$8$H$gdnJ 7$8$H$gdnJ$7$8$H$a$gdnJ 7$8$H$gd\kd$$IfT
F
033333333!633333333333333333333333334abytk&TLM\2moABUnpqr$%&žܹh.h @7hnJ0JjhnJUhnJjhnJUhk&hnJ5>*hk&h.5>* hnJ5hnJhnJhnJh>hnJh>5h\h.5h\h>5 h.5hnJhnJ5hnJh.5hnJh.2%&$a$gd.$7$8$H$a$gdnJ 7$8$H$gd\$h7$8$H$^ha$gdnJ$
&F7$8$H$a$gdnJ
7$8$H$^gdnJ ) * ^ !!N!e!f!h!ƿh~tMCJaJhrIh~tMCJaJhrIhYCJaJhrIhYhrIhY5>*h5>*hY5>*h.hm5>*hnJ5>*CJaJhnJh.hnJhk&hnJ5>*hk&h.5>* hnJ53(Do8q [ygdY$a$gdYNi* H !9!f!h!!!!!"$"gd~tMgdYh!i!q!r!t!!!!!!!!!!!";"["""?#@#I#J#L#R#U#V#l####$$/$2$3$f${$$$ %%<%=%>%F%G%I%J%M%S%T%i%s%%%%%%%%%%% '!'"'+','ļϴϼϼϼļļļϼϰϼļļļļh~tMhYCJaJh~tMCJaJhrIh~tMCJaJhrIhYCJaJhrIhYhY5>*h5>*hrIhY5>*h~tM5>*E$"["\"y"z""""#?#@#U#V#####2$3$P$Q$$$$$%=%>%S%gd~tMgdYS%T%%%%&/&0&M&N&y&&&& '!'8'9'd''''((2(3(j(((gd{gd~tMgdY,'.'1'8'9''(H(d(j(((((((()))))) ))I)S)X)Z)[)j)l))~)))))))))))))4*F*G*H********ݺݺݺݫݣիݣպݺݺhrIhY5hsCJaJhxCJaJh5>*h~tMCJaJhrIh{CJaJh{CJaJhYCJaJhrIhYCJaJhrIhYhY5>*hrIhY5>*8(())) )[)y)))****I*d******D+y+++,,f,gdY*S,V,r,s,,,,, 7Bdo//r0000T1^1112233@3W3\3d333&444444555/55ɻhE
hE
56hE
hE
56>*hhXj5CJaJhXj5CJaJh95>*CJaJh9hXj5>*CJaJhE
B*CJaJphhjlhYB*CJaJphhYB*CJaJphhrIhYB*CJaJph4f,,,7d
..../ ///00r0$7$8$H$a$gdXj$87$8$H$^8a$gdXj$7$8$H$^a$gdXj
d^gdXjgdY`^``gdYr000I11i2 33t44s5Q67889:=;D;gdY$dd[$\$a$gd$dd[$\$a$gdXj5555]6n66666
7!7h7j7k7777778
888"8R8T8j888888899C9D9L99999#::F:J:::::::=;>;껴 jh0hgy<CJUaJhl[h56>*hl[56hl[hl[56>*h56>*hE
h56hE
h56>*h56hE
hE
56hE
hE
56>*6>;?;@;A;B;C;D;ͼh.hrIB*CJaJph jh0hgy<CJUaJ jbh0hgy<CJUaJ jh0hgy<CJUaJ jh0hgy<CJUaJ jh0hgy<CJUaJ,1h/ =!"#$%DyKngh@mail.smu.eduyKHmailto:ngh@mail.smu.eduyX;H,]ą'c$$If!vh#v
#v
#v:V033333333!6,555/3334ytk&T$$If!vh#v
#v
#v:V033333333!6,555/3334ytk&T$$If!vh#v
#v
#v:V033333333!6,555/3334ytk&T$$If!vh#v
#v
#v:V033333333!6,555/3334ytk&TDyKwww.smu.edu/alec/dass.aspyKZhttp://www.smu.edu/alec/dass.aspyX;H,]ą'cDd
V
3$awillbu1"@@Dd
V
3$awillbu2"@@Dd
V
3$awillbu3"@@Dd
V
3$awillbu1"@@Dd
V
3$awillbu2"@@Dd
V
3$awillbu3"@@^2 0@P`p2( 0@P`p 0@P`p 0@P`p 0@P`p 0@P`p 0@P`p8XV~_HmH nH sH tH @`@{NormalCJ_HaJmH sH tH h@h> Heading 1dd@&[$\$'5B*CJ0KH$OJQJ\^JaJ0ph^@"^> Heading 2dd@&[$\$B*CJ$OJQJ^JaJ$ph^@2^> Heading 3dd@&[$\$B*CJOJQJ^JaJphDA`DDefault Paragraph FontRi@RTable Normal4
l4a(k (No List4U`4m Hyperlink >*ph33B^B>Normal (Web)dd[$\$<<>pseditbox_disponly^O"^{kbfw_page_title_descriptiondd[$\$H@2HxBalloon TextCJOJQJ^JaJNoANxBalloon Text CharCJOJQJ^JaJL@RLE
List Paragraph
^m$CJaJPK![Content_Types].xmlN0EHJ@%ǎǢș$زULTB l,3;rØJB+$G]7O٭V$!)O^rC$y@/yH*)UDb`}"qۋJחX^)I`nEp)liV[]1M<OP6r=zgbIguSebORD۫qu gZo~ٺlAplxpT0+[}`jzAV2Fi@qv֬5\ʜ̭NleXdsjcs7f
W+Ն7`gȘJjh(KD
dXiJ؇(x$(:;˹!I_TS1?E??ZBΪmU/?~xY'y5g&/ɋ>GMGeD3Vq%'#q$8K)fw9:ĵ
x}rxwr:\TZaG*y8IjbRcXŻǿI
u3KGnD1NIBs
RuK>V.EL+M2#'fi~Vvl{u8zH
*:(W☕
~JTe\O*tHGHY}KNP*ݾ˦TѼ9/#A7qZ$*c?qUnwN%Oi4=3N)cbJ
uV4(Tn
7_?mٛ{UBwznʜ"ZxJZp;{/<P;,)''KQk5qpN8KGbe
Sd̛\17 pa>SR!
3K4'+rzQ
TTIIvt]Kc⫲K#v5+D~O@%\w_nN[L9KqgVhn
R!y+Un;*&/HrT >>\
t=.Tġ
S; Z~!P9giCڧ!# B,;X=ۻ,I2UWV9$lk=Aj;{AP79s*Y;̠[MCۿhf]o{oY=1kyVV5E8Vk+֜\80X4D)!!?*fv
u"xA@T_q64)kڬuV7t'%;i9s9x,ڎ45xd8?ǘd/Yt&LILJ`& Gt/PK!
ѐ'theme/theme/_rels/themeManager.xml.relsM
0wooӺ&݈Э5
6?$Q
,.aic21h:qm@RN;d`o7gK(M&$R(.1r'JЊT8V"AȻHu}$b{P8g/]QAsم(#L[PK![Content_Types].xmlPK!֧60_rels/.relsPK!kytheme/theme/themeManager.xmlPK!0C)theme/theme/theme1.xmlPK!
ѐ' theme/theme/_rels/themeManager.xml.relsPK]
D3jq h!,'*5>;D; &(+.034?L$"S%(f,r0D;!"#$%')*,/12AqD3XX8@0(
B
S ?cout_PictureBulletsh=3F3hC3F3ZZdF3cnnF39*urn:schemasmicrosoftcom:office:smarttagsState9*urn:schemasmicrosoftcom:office:smarttagsplace=*urn:schemasmicrosoftcom:office:smarttags PlaceType=*urn:schemasmicrosoftcom:office:smarttags PlaceNamei'KP#5#))=3C3F3.P)")x))1B1=3C3F33333330189CDHINOCFAqrIJ,,/2233f <=>GIi+,H j !!!!I!I!S!X!Z![!!!!!!!!!!!F"G"""""%C3F30189CDHINOCFAqrIJ,,/2233f <=>GIi+,H j !!!!I!I!S!X!Z![!!!!!!!!!!!F"G"""""%C3F3^tNW"#((zjQB*h
>
7vOHbNWNu"h^`OJQJo(hHh^`OJQJ^Jo(hHohpp^p`OJQJo(hHh@@^@`OJQJo(hHh^`OJQJ^Jo(hHoh^`OJQJo(hHh^`OJQJo(hHh^`OJQJ^Jo(hHohPP^P`OJQJo(hHh^`OJQJo(hHh^`OJQJ^Jo(hHohpp^p`OJQJo(hHh@@^@`OJQJo(hHh^`OJQJ^Jo(hHoh^`OJQJo(hHh^`OJQJo(hHh^`OJQJ^Jo(hHohPP^P`OJQJo(hH^`CJOJQJo(hH^`CJOJQJo(hHopp^p`CJOJQJo(hH@@^@`CJOJQJo(^`CJOJQJo(^`CJOJQJo(^`CJOJQJo(^`CJOJQJo(PP^P`CJOJQJo(^`o(.
^`hH.
pL^p`LhH.
@^@`hH.
^`hH.
L^`LhH.
^`hH.
^`hH.
PL^P`LhH.h^`OJQJo(hHh^`OJQJ^Jo(hHoh^`OJQJo(hHh^`OJQJo(hHhLL^L`OJQJ^Jo(hHoh^`OJQJo(hHh^`OJQJo(hHh^`OJQJ^Jo(hHoh^`OJQJo(hH^`CJOJQJo(^`CJOJQJo(opp^p`CJOJQJo(@@^@`CJOJQJo(^`CJOJQJo(^`CJOJQJo(^`CJOJQJo(^`CJOJQJo(PP^P`CJOJQJo(^`CJOJQJo(hH^`CJOJQJo(hHopp^p`CJOJQJo(hH@@^@`CJOJQJo(^`CJOJQJo(^`CJOJQJo(^`CJOJQJo(^`CJOJQJo(PP^P`CJOJQJo(#(WOHbN^">
7QB* ;74$N,Yg~]W
BU uiYg4$
gT%^xqGlNBU^xqGUgT~]W'1X'1Xn[!+`0b\1lU
yKn uiN,Wz\1lZxrq
k"5/@Lg{96`f
3MZc6:;}>QGj:pb`%_e Dqb*dCKd p( K HT VV [ m y +} 0
&1F_ js@ Awy=
E
R
`
3q
x

}
G),s:Wg}HC2{AIx{
""&%#4ISJk5RM'/<Z]p">+BDA7_s,M@6x+ye4(+16bdly*mS#1Ax]"<`'0GN_WhKm
CLdc^,Ar6Z ; ? $T f%!%!!;!?K!&O! }!4"M"n"X#0>#"I#]]#9s#{##D$T$AM$n$K%Q%{%5%*B%!N%f\%~j%m &'B&`q&
''2'c3'L5'%K'K'[f'j'w'}'(J.(1(2(9(g(Z)=[)l)@x)~)*"*%*30*E*>L*Y*_*pb*!+`+8.,B,G,N,+k,z,
'@vFh`.3.C.
/=/X0/^/}i/r/~/I0&0*0=70K0[00e0%r0v01yQ122F2H2
33%3353:3w3:4x?4e44;5:5eR5m5{566G 6!6X6us6+w66)77b37:7:8488888B8XZ8_8.z89A'909P9 ^9)i9~9:f:Y; d;Xt;<<a<#}<M}<(=6=@#=@=W=8b=O>S>>/?01?t?u?:@C@e.ABA^ABBQ8B`BbB&C)CP;CBCQECJCqC{CVDhEXEdE~E
F&jFGf2G>DGcGEzG
HH.HDHEHYH_H`HDqH I@:I)DIHIhNIJJJ:JnJK%fK0gKpKBsKL,L9L$MYMMM~tMYN%N}8N@NUNzNfNO'TOTOgOhqOrOIPPPzPP /P"2P;PQEQZFQLQbmQoQqQRvKRKRSSS!SQZSLpSS)T+ ThUhX\h_h9iRiV[i\iei,juj 8jXj`jvjxjk]TkUk~kklJ(l
ClEl+Kl}hlv&m1mv:moFmmU~mmn!nLnNnbninwno
!o=doHpp$p'XpL\pmpTq*qvqDars s"&s/sHasS%t5t6tw=tAtPtctwt#uWu$u^vv.'vzvTwo8wwwxc`xfx#hxrxy
yyyp1y1ygy*hyiyiyzy~yq$zAzZz]z+hzpz85xKUXzb
}'}t}+}3}_4}x}5~?~nAyLUw#b1x?;d3"O5rI{90>6]n^xJa$) ,.3Vdjj{IJWzz#q%a.:08XcPhrO$L\x$IZ`!w689sSr&>pFzGZaXf($~$1KQ{^gHW!k'+4/_H_mYD~1
e#m'UXck)D8:ASlSL!a{o
}p!8=M?P}[pzL3/<8Rv<{)Y?y ld
dH
9'yN7Qz8'*(u0PAW[z^Un'3&5%CP LU
=IZDtZn}(Sh"FbwJ"v$%dgv8RKb{
]_i1O5!8:Olrv
CKL7dT"%Jei*5*zi%G1A8<ZRr
Q"j$%%@cZu"*B)Sdk{a3TFhp{>!677Ln(+FImoiywk&'c!"&,'p3<R>wPSn}lO@AqI!
!091KRZag.h:^M^T=U"4IWS7AB>HKJ_qR~NXQb/6:BJAnY[a "7)<X{kq~r%aWku~I%*1pr!Y1`a^@&,
L[a^hux4 %BIVKhPXm4`wx\*ntq6Bp,%j.:>8XF5MW`f{4=[iffT'B.We(4J;{P4FI_EnZ
[2gBwg:If<OqR")u,r.=/
!#&}>c!,N8H>FHZ^sY}0AA1b.p";?Dk&}MTsuut
GHNlSYac UeA8CMHqy/;Xm5>;DUXmwp'fh2^74 GzO]Bh{ o!"$@9<Q(,.;)]6_f2BRzub.+X_#1S
e48y
*+ttu,9X\_p&rpt?AVMgjv""++}H;[n6!FFotfd!16rqK*8$B_b?;"rbLv@%"@loX P)R"Y\E~
&9oyLL5Ojlq;z+6ahoG<qIM.;D=RB#Spw3":.nJnwV+w5x>T),2:;Zi)8RV4;HSejJ@r();ZPX'D\D3F3@OOOOD3@UnknownG*Ax Times New Roman5Symbol3.*Cx Arial5..[`)Tahoma?= *Cx Courier New;WingdingsA$BCambria Math"1hsdsd '+]+]!4*3*33QHX ?=3R2!xx/Tentative Schedule for STAT 2331 in Jterm 2011Hong NgTony Ng(Oh+'0l
(4
@LT\d0Tentative Schedule for STAT 2331 in Jterm 2011Hong NgNormalTony Ng2Microsoft Office Word@@>]@b
@b
+՜.+,D՜.+,\hp
SMU]*30Tentative Schedule for STAT 2331 in Jterm 2011Title( 8@_PID_HLINKSA!http://www.smu.edu/alec/dass.aspimailto:ngh@mail.smu.edu
!"#$%&'()*+,./012345789:;<=?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefhijklmnpqrstuvyRoot Entry Fv
{Data
61Table>PWordDocument.jSummaryInformation(gDocumentSummaryInformation8oCompObjr
F Microsoft Word 972003 Document
MSWordDocWord.Document.89q