1. science
2. mathematics
3. statistics

Statistics 151 – Course Outline Winter 2015
STATISTICS 151 – INTRODUCTION TO APPLIED STATISTICS I (WINTER 2015)
University of Alberta – Department of Mathematical and Statistical Sciences
General Stat 151 Website: https://eclass.srv.ualberta.ca/portal/
Section
Q1
R1
R2
S1
T1
U1
-
Class Time
MWF 9:00-9:50
Room
TL 12
Instructor
Cartledge, P
Office
CAB 409
Office Hours
Email
WF 11:00 – 13:00
pdc2@ualberta.ca
& R 12:30 – 14:00
MWF 10:00-10:50 TL B 2
Simchi, A
CAB 587
MWF 11:00 – 12:30 asimchi@ualberta.ca
& TR 10:00 – 12:15
MWF 10:00-10:50 ESB 3 27
Fok, R
CAB 487
MWF 13:00 – 13:50 rfok@ualberta.ca
MWF 12:00-12:50 ETLC E1 003
Yaskina, M
CAB 463
MWF 13:00 – 13:50 yaskina@ualberta.ca
MWF 14:00-14:50 ESB 3 27
Cartledge, P
CAB 409
WF 11:00 – 13:00
pdc2@ualberta.ca
& R 12:30 – 14:00
TR 12:30-13:50
CCIS L2 190
Fok, R
CAB 487
MWF 13:00 – 13:50 rfok@ualberta.ca
Students can attend any of the office hours listed above or contact their instructor to make an appointment.
Email Rules:
1) Please put “Stat 151” in the subject line.
2) Emails sent from your ualberta account are preferred (emails not sent using your CCID email may be treated as
suspect and possibly ignored).
3) Please ask specific questions.
4) Please allow for up to 48 hours for email replies.
Course Description: STAT 151 is an introductory statistics course focusing on statistical reasoning and data analysis. Topics
include: Data collection and presentation, descriptive statistics. Probability distributions, sampling distributions, and the
central limit theorem. Point estimation and hypothesis testing. Correlation and regression analysis. Goodness of fit and
contingency tables.
Course Prerequisite: Pure Mathematics 30, Mathematics 30-1 or 30-2. This course may not be taken for credit if credit has
been obtained in any STAT course, or in PEDS 309, PSYCO 211 or SOC 210.
Course Objectives and Expected Learning Outcomes: This course provides an introduction to statistical methods and their
applications. The main topics are: obtaining and summarizing data with graphs and numeric measures; probability theory;
and statistical inference (drawing conclusions from sample data by carrying out a hypothesis test). This course also comes
with a lab component; students will use a computer program, STATCRUNCH, as a tool to further help their understanding in
statistical analysis. At the end of this course, students should be able to make objective decisions based upon statistical data.
Textbook and References:
1) Textbook Options:
a.
Text: STATS: Data and Models, Canadian Edition, by De Veaux, Velleman, Bock, Vukov, and Wong,
published by Pearson. The text packaged with MyStatLab (online homework used for this course) is
available in the bookstore for approximately $133.
b.
eBook with MyStatLab access code. You can purchase it through the bookstore for approximately $86.50,
or you can also purchase it online when you register on eClass for approximately $76.
NOTE: The bookstore sells the used textbook for $99.75, which does not include MyStatLab access code. Student
wishes to access MyStatLab using their own computer(s) should buy one of the options listed above. The
textbook is essential resource for this course. Students are responsible for any assigned readings from the
textbook throughout the course.
2) Additional Resources: Please print off the class notes and examples (when they are available) and bring them to
class. You won’t be given time to copy these out in class.
Recommended or Optional Learning Resources:
1) There are practice midterm and final exams posted on eClass.
2) There are practice questions that you can find on MyStatLab.
Policy about course outlines can be found in section 23.4(2) of the University Calendar.
Disclaimer: Any typographical errors in this Course Outline are subject to change and will be announced in class.
Page 1 of 7
Statistics 151 – Course Outline Winter 2015
Syllabus: Here is the tentative outline with the approximate number of classes indicated for each topic.
Chapter
Description
1 Introduction
11-13 Gathering Data (Assigned Reading)
2-10 Descriptive Statistics
(Ch 10: covers only the idea of ln transform)
14-16 Probability and Probability Models
(Ch 16: covers only E(aX±bY) and Var(aX±bY))
18 Sampling Distributions
19-21, 23 One-Sample Inference
(Ch 21: will not cover pg. 573-575)
22, 24, 25 Two-Sample Inference
(Ch 24: covers both Pooled and Non-pooled test)
28 ANOVA
26 Chi-Square Tests
Grade Assessment:
Assignments (15)
Lab Assignments (4)
Midterm Exam
Final Exam
10%
10%
30%
50%
Hours
1
0
6
8
3
7
4
3
3
https://eclass.srv.ualberta.ca/portal/
https://eclass.srv.ualberta.ca/portal/
Saturday, February 28, 2015, from 9:30 – 11:00. Location for each section:
Section Q1: CCIS 1-430
Section R1: ETLC E1 007
Section R2: ETLC E1 013
Section S1: NREF 1 001 & NREF 1 003
Section T1: CCIS 1-440
Section U1: ETLC E1 017
Saturday, April 18, 2015, from 0900 – 1200. Locations: TBA.
Note: The date of the final examination is set by the Registrar and takes precedence over the final examination date
reported in this document. Students must verify this data on BearTracks when the Final Exam Schedule is posted.
Your final grade will be determined based on your overall score out of 100.
grades.
Score
< 50
50535660657052
55
59
64
69
74
Grade F
D
D+
CC
C+
B-
Here is the distribution that will be used to assign
7579
B
8084
B+
8589
A-
9094
A
95100
A+
Grades are unofficial until approved by the Department and/or Faculty offering the course.
Examinations:
Midterm Exam (30%): The midterm exam will be a 90-minute consolidated exam held on Saturday, February 28, 2015,
locations mentioned above, from 0930 to 1100, consisting of 30 multiple choice questions. The midterm exam will cover
Chapters 1 to 18 inclusive. More details about the topics will be discussed closer to the exam.
Final Exam (50%): The cumulative final exam will be a 180-minute consolidated exam held on Saturday, April 18, 2015,
location TBA, from 0900 to 1200, consisting of 50 multiple choice questions. More details about location and topics will be
discussed closer to the exam. The date of the final examination is set by the Registrar and takes precedence over the final
examination date reported in this syllabus.
Midterm and Final Exam Formats and Rules: The exams are closed book. Necessary formula sheets and tables will be
provided. A copy of the formula sheet and tables can be found on the eClass website. You must bring your own NONPROGRAMMABLE calculator. You are not permitted to share a calculator. All other electronic equipment is prohibited.
Your student photo ID is required at exams to verify your identity. Students will not be allowed to begin an examination
Policy about course outlines can be found in section 23.4(2) of the University Calendar.
Disclaimer: Any typographical errors in this Course Outline are subject to change and will be announced in class.
Page 2 of 7
Statistics 151 – Course Outline Winter 2015
after it has been in progress for 30 minutes. Students must remain in the exam room until at least 30 minutes have
elapsed. Electronic equipment other than non-programmable calculators cannot be brought into examination rooms and
hats should not be worn. Any PROGRAMMABLE or GRAPHING calculators will be confiscated (only to be returned at the
end of the examination) and, as such, you will be required to do the exam without a calculator. If you are uncertain
whether your calculator is nonprogrammable or not, please verify it with your instructor.
All programmable/graphing calculators are strictly prohibited on exams. Here is a list of some prohibited calculators:
Casio
Casio HP Sharp TI
FX-502P series
FX-602P series
FX-603P
FX-702P
FX-850P
FX-CG10
Casio 9750 series
Casio 9850 series
Casio 9860 series
Casio ClassPad
HP
HP-25
HP 35s
HP-41C
HP-48
HP-49
HP-50
HP-65
HP Prime Series
Sharp
PC-1401
PC-1403
EL-9900C
TI
TI-58 C
TI-59
TI-73
TI-83 Plus
TI-84 Plus
TI-89
TI-Nspire
NOTE: If you cannot write an exam due to religious conflict or any other school related conflict, you must notify your
instructor in writing on or before Monday, January 19, 2015. If you fail to notify us of a religious conflict or any other
school related conflict on or before Monday, January 19, 2015, then you MUST write the exam on the regularly scheduled
date or you will receive a ZERO on the exam. No other reasons will be considered for alternate exam accommodations.
Past (or Representative) Evaluative Material: There are practice midterm and final exams posted on eClass.
Labs and Lab Assignments (10%): https://eclass.srv.ualberta.ca/portal/
 Beyond the information below, it will be assumed you are familiar with all information under the topic “Labs” on
eClass.
 There are 4 typewritten lab assignments to submit. You can find all the lab instructions, assignments, data files, due
dates, solutions, and all other related information on the eClass (there is no lab manual). Before you start working
on the lab assignment problems, you should first familiarize yourself with the relevant lecture material and go
through the lab instructions corresponding to the lab assignment.
 Software: You will use the statistical software package StatCrunch to complete the lab assignments. You will be
required to generate your own StatCrunch output and then answer the questions from the output using your
knowledge from class. Statcrunch is a web-based statistical application containing all statistical features covered in
introductory statistics courses. The software can be accessed through eClass in any campus lab and from your home
computer if you have internet.
 Lab Instructions & Lab Videos: You are expected to do your lab assignments on your own time using online
instructions and videos available on the website. Each lab in eClass contains instructions in text and video form. It is
expected that you view these before completing the lab.
 Lab Assistance: There are no assigned lab sessions in Stat 151. On the week that the lab is due, there are drop-in lab
help sessions on Mondays, Tuesdays and Wednesdays for the students to attend. You may ask the lab assistants to
clarify lab assignment questions. Each lab help session will start at the beginning of the hour (1200, 1300, and so
on). Lab help sessions are scheduled as follows:
o Monday: 1400 – 1700 in CAB 341
o Tuesday: 1400 – 1700 in CAB 331 and 341
o Wednesday: 1400 – 1800 in CAB 331 and CAB 341
 Introductory Lab: You must work through the Introductory Lab Instructions available on the Stat 151 eClass
website. Videos are available to further help your understanding in using StatCrunch. You are not to submit
anything from this introduction.
 It is your responsibility to keep a backup of your work. It is your responsibility to protect your work. Do not leave
your work on a university computer.
Policy about course outlines can be found in section 23.4(2) of the University Calendar.
Disclaimer: Any typographical errors in this Course Outline are subject to change and will be announced in class.
Page 3 of 7
Statistics 151 – Course Outline Winter 2015




Submit your lab assignments into the appropriate wooden box on 3rd floor CAB by 0850 (8:50am) on their
respective due dates.
***Late or misplaced lab assignments will not be graded and will result in a ZERO recorded for that assignment. No
extensions will be granted.
You MUST do your own work!
Grading Fairness: In order to ensure the fairness of the grading process of labs across all groups marked by different
graders, the total score of the four labs for each student may be adjusted by the overall average lab total for all
students in the course if significant differences among the groups are found. That means that some totals for
individual students may be slightly increased.
Homework Assignments (10%):
 Your homework assignments will be administered through MyStatLab, an online homework assessment system.
 There are 2 alternatives to access MyStatLab:
o MyStatLab access with paid access code
 You can access MyStatLab through eClass using the access code that comes with your copy of the
new textbook or the eBook that you purchase either through the bookstore or online.
 With the paid access code, you can access MyStatLab at any computers at any locations any time
of the day
 With the paid access code, you have online resources such as hints, step-by-step help, and
examples similar to the questions that you are required to complete as part of the homework.
 To register, refer to the file “MyStatLab Registration for Paid Access Code” available on eClass.
 NOTE: Solving problems is an excellent way to master the STAT 151 material. In addition to your
regular assignments, you are strongly encouraged to attempt a variety of problems from the text.
MyStatLab also has a variety of practice problems and quizzes.
o MyStatLab access with no-cost-alternative access code
 You can only access MyStatLab assignments through the university computers at Cameron
Knowledge Common.
 The computers at Cameron Library are available on a first come first serve basis. Please plan to do
your assignments ahead in time. It is your responsibility for completing the assigned homework in
a timely fashion. No late assignments will be accepted.
 To register, refer to the file “MyStatLab Registration for No-Cost-Alternative Access Code”
available on eClass.
 There are 15 homework assignments with 3 due dates as follows:
o Assignments (Chapters 11 – 13): Friday, January 30, 2015 at 23:59 (11:59pm)
o Assignments (Chapters 2 – 9, 14 – 16, 18): Friday, February 27, 2015 at 23:59 (11:59pm)
o Assignments (Chapters 19 – 26, 28): Friday, April 10, 2015 at 23:59 (11:59pm)
 Format: Once you are in MyStatLab, you will be able to see the homework assignments and when a homework is
available and due. After an answer is entered on MyStatLab, you will get an instant response as to if your answer is
correct. You are allowed unlimited tries for each question, but MyStatLab will give you a new but similar question
after enough attempts with incorrect answers. Please complete your homework before the due date. Late
assignments will not be accepted. Medical and other excuses are not accepted as a reason for late assignments as
due dates for these assignments are known in advance. Within 48 hours of the due time of a homework assignment,
any technology/computer problem (unless it is a general problem with MyStatLab that affects all students) will not
be accepted as a valid excuse for failing to complete the assignment in time. Please plan to complete the
assignments well in advance of the actual due date. If you have an isolated issue, you therefore have plenty of time
to resolve it and/or access another computer.
NOTE: The first time you enter your course from your own computer and anytime you use a new computer, click the
Installation Wizard or Browser Check on the Announcements page. After completing the installation process and closing the
wizard, you will be on your course home page and ready to explore your MyStatLab resources!
MyStatLab registration help:
If you have any questions regarding registration or technical issues relating to MyStatLab, contact Product Support at
http://www.mystatlab.com/studentsupport for live CHAT or phone support. If your issue is unresolved by technical
support, then you will be given an incident number. You can then send this incident number to your instructor and they
will be able to forward this issue on to the correct person.
Policy about course outlines can be found in section 23.4(2) of the University Calendar.
Disclaimer: Any typographical errors in this Course Outline are subject to change and will be announced in class.
Page 4 of 7
Statistics 151 – Course Outline Winter 2015
On-Line Homework Disclaimer:
Online homework is a component of this course and is provided by a third-party company. The University of Alberta is not
responsible for the content of the third-party service or for any injury or damage arising from its use. Please be aware that
this company will be storing assessment information that may be associated with you. If you have any concerns about this,
please contact the instructor of the course.
Excused Absence Where the Cause is Religious Belief:
For an excused absence where the cause is religious belief, a student must contact the instructor(s) within two weeks of the
start of Fall or Winter classes to request accommodation for the term (including the final exam, where relevant). Instructors
may request adequate documentation to substantiate the student request.
Missed Components:
Missed Midterm and Missed Lab Assignments: A student who cannot write the midterm exam or hand in a lab assignment
due to incapacitating illness, severe domestic affliction, or other compelling reasons can apply to transfer the weight of the
missed component to the final exam. There are no deferred term exams or lab assignments. To apply for a weight transferral,
a student must inform the instructor within two working days following the scheduled date of the term work or term exam
missed, or as soon as the student is able, having regard to the circumstances underlying the absence. In all cases, instructors
may request adequate documentation to substantiate the reason for the absence at their discretion.
An excused absence is a privilege and not a right; there is no guarantee that an absence will be excused. Misrepresentation
of Facts to gain an excused absence is a serious breach of the Code of Student Behaviour.
Missed MyStatLab Homework Assignments: Since the material is covered in class well before the due dates, no excuses are
accepted for missing a due date.
Missed Final Examination: A student who cannot write the final examination due to incapacitating illness, severe domestic
affliction or other compelling reasons can apply for a deferred final examination. Students who failed at the start of term to
request exam accommodations for religious beliefs are expected to follow the normal deferred final examination process.
Such an application must be made to the student’s Faculty office within two working days of the missed examination and
must be supported by a Statutory Declaration or other appropriate documentation (Calendar section 23.5.6). Deferred
examinations are a privilege and not a right; there is no guarantee that a deferred examination will be granted.
Misrepresentation of Facts to gain a deferred examination is a serious breach of the Code of Student Behaviour.
Date:
Saturday, May 2, 2015
Time:
0900 – 1200
Location:
TBA. Please meet outside of the classroom at 0830 to register for the exam
NOTE: Deferral of term work and/or examinations is a privilege and not a right; there is no guarantee that a deferral will be
granted. Misrepresentation of Facts to gain a deferral is a serious breach of the Code of Student Behaviour.
Reexamination: A student who writes the final examination and fails the course may apply for a reexamination.
Reexaminations are rarely granted in the Faculty of Science. These exams are governed by University (Calendar section
23.5.5) and Faculty of Science Regulations (Calendar section 192.5.3). Misrepresentation of Facts to gain a re-examination is a
serious breach of the Code of Student Behaviour.
Student Responsibilities:
ACADEMIC INTEGRITY: ‘The University of Alberta is committed to the highest standards of academic integrity and
honesty. Students are expected to be familiar with these standards regarding academic honesty and to uphold the
policies of the University in this respect. Students are particularly urged to familiarize themselves with the provisions
of the Code of Student Behaviour (online at www.governance.ualberta.ca) and avoid any behaviour which could
potentially result in suspicions of cheating, plagiarism, misrepresentation of facts and/or participation in an offence.
Academic dishonesty is a serious offence and can result in suspension or expulsion from the University.’
Policy about course outlines can be found in section 23.4(2) of the University Calendar.
Disclaimer: Any typographical errors in this Course Outline are subject to change and will be announced in class.
Page 5 of 7
Statistics 151 – Course Outline Winter 2015
All forms of dishonesty are unacceptable at the University. Any offense will be reported to the Senior Associate Dean
of Science who will determine the disciplinary action to be taken. Cheating, plagiarism and misrepresentation of facts
are serious offenses. Anyone who engages in these practices will receive at minimum a grade of zero for the exam or
paper in question and no opportunity will be given to replace the grade or redistribute the weights. As well, in the
Faculty of Science, the sanction for cheating on any examination will include a disciplinary failing grade (no
exceptions) and senior students should expect a period of suspension or expulsion from the University of Alberta.
Cell Phones: Cell phones are to be silenced (turn the ringer off) during lectures, labs, and seminars. Cell phones are
not to be brought to exams (you cannot use your cell phone as a calculator).
Recording and/or Distribution of Course Materials:
Audio or video recording, digital or otherwise, of lectures, labs, seminars or any other teaching environment by
students is allowed only with the prior written consent of the instructor or as a part of an approved accommodation
plan. Student or instructor content, digital or otherwise, created and/or used within the context of the course is to be
used solely for personal study, and is not to be used or distributed for any other purpose without prior written
consent from the content author(s).
Students Eligible For Accessibility-Related Accomodations (students registered with Specialized Support & Disability
Services - SSDS):
Eligible students have both rights and responsibilities with regard to accessibility-related accommodations.
Consequently, scheduling exam accommodations in accordance with SSDS deadlines and procedures is
essential. Please note adherance to procedures and deadlines is required for U of A to provide accommodations.
Contact SSDS (www.ssds.ualberta.ca) for further information.
Decima Robinson Support Centre for Mathematical & Statistical Sciences
(http://www.mathstats.ualberta.ca/en/SupportCentre/Help.aspx):
Students who require additional help with assignments or have questions about the course material in general are
encouraged to visit the Decima Robinson Support Centre (528 Central Academic Building). Graduate students will be
available to provide one-on-one help. In order to get maximum help during each visit, students are asked to be
specific about the problem with which they are seeking help. See link above for hours.
Policy about course outlines can be found in section 23.4(2) of the University Calendar.
Disclaimer: Any typographical errors in this Course Outline are subject to change and will be announced in class.
Page 6 of 7
Statistics 151 – Course Outline Winter 2015
Tentative Lecture Schedule & Assigned Readings:
Week
Day
1 Monday
2
3
4
5
6
7
8
9
10
11
12
13
14
Date
5-Jan
MWF
Introduction; Ch 11 - 13 Gathering Data
1 (Assigned Readings)
TR
Labs
Important Dates
Introduction; Ch 11 - 13 Gathering Data
1 (Assigned Readings)
Tuesday
Wednesday
Thursday
Friday
Monday
Tuesday
Wednesday
Thursday
Friday
Monday
Tuesday
Wednesday
Thursday
Friday
Monday
Tuesday
Wednesday
Thursday
Friday
Monday
Tuesday
Wednesday
Thursday
Friday
Monday
Tuesday
Wednesday
Thursday
Friday
Monday
Tuesday
Wednesday
Thursday
Friday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
Monday
Tuesday
Wednesday
Thursday
Friday
Monday
Tuesday
Wednesday
Thursday
Friday
Monday
Tuesday
Wednesday
Thursday
Friday
Monday
Tuesday
Wednesday
Thursday
Friday
Monday
Tuesday
Wednesday
Thursday
Friday
Monday
Tuesday
Wednesday
Thursday
6-Jan
7-Jan
8-Jan
9-Jan
12-Jan
13-Jan
14-Jan
15-Jan
16-Jan
19-Jan
20-Jan
21-Jan
22-Jan
23-Jan
26-Jan
27-Jan
28-Jan
29-Jan
30-Jan
2-Feb
3-Feb
4-Feb
5-Feb
6-Feb
9-Feb
10-Feb
11-Feb
12-Feb
13-Feb
16-Feb
17-Feb
18-Feb
19-Feb
20-Feb
23-Feb
24-Feb
25-Feb
26-Feb
27-Feb
28-Feb
2-Mar
3-Mar
4-Mar
5-Mar
6-Mar
9-Mar
10-Mar
11-Mar
12-Mar
13-Mar
16-Mar
17-Mar
18-Mar
19-Mar
20-Mar
23-Mar
24-Mar
25-Mar
26-Mar
27-Mar
30-Mar
31-Mar
1-Apr
2-Apr
3-Apr
6-Apr
7-Apr
8-Apr
9-Apr
Friday
Saturday
10-Apr 36 Review
18-Apr
FINAL 9:00am-12:00pm
2 Ch 2 - 6 (Descriptive Stats)
2 Ch 2 - 6 (Descriptive Stats)
3 Ch 2 - 6 (Descriptive Stats)
4 Ch 2 - 6 (Descriptive Stats)
3 Ch 2 - 6 (Descriptive Stats)
5 Ch 7 - 10 (Regression)
4 Ch 7 - 10 (Regression)
6 Ch 7 - 10 (Regression)
7 Ch 7 - 10 (Regression)
Registration Deadline
5 Ch 7 - 10 (Regression)
8 Ch 14 - 17 (Probability)
6 Ch 14 - 17 (Probability)
9 Ch 14 - 17 (Probability)
10 Ch 14 - 17 (Probability)
7 Ch 14 - 17 (Probability)
11 Ch 14 - 17 (Probability)
8 Ch 14 - 17 (Probability)
12 Ch 14 - 17 (Probability)
13 Ch 14 - 17 (Probability)
Assignments Ch 11-13 Due
9 Ch 14 - 17 (Probability)
14 Ch 14 - 17 (Probability)
1
1
1
10 Ch 14 - 17 (Probability)
Lab 1 Due at 8:50AM
15 Ch 14 - 17 (Probability)
16 Ch 18 (Sampling Distributions)
11 Ch 18 (Sampling Distributions)
17 Ch 18 (Sampling Distributions)
12 Ch 18 (Sampling Distributions)
18 Ch 18 (Sampling Distributions)
Reading week
Reading week
19 z and t-tools (Ch 19-25)
13 Ch 19 - 21, 23 (One Sample Inference)
20 z and t-tools (Ch 19-25)
2
2
2
14 Midterm Review
Lab 2 Due at 8:50AM
Assignments Ch 2-9, 14-16, 18 Due
21 Midterm Review
MIDTERM (9:30 - 11:00AM)
22 z and t-tools (Ch 19-25)
15 z and t-tools (Ch 19-25)
23 z and t-tools (Ch 19-25)
16 z and t-tools (Ch 19-25)
24 z and t-tools (Ch 19-25)
25 z and t-tools (Ch 19-25)
16 z and t-tools (Ch 19-25)
26 z and t-tools (Ch 19-25)
17 z and t-tools (Ch 19-25)
27 z and t-tools (Ch 19-25)
28 z and t-tools (Ch 19-25)
19 z and t-tools (Ch 19-25)
28 z and t-tools (Ch 19-25)
3
3
3
20 z and t-tools (Ch 19-25)
Lab 3 Due at 8:50AM
29 z and t-tools (Ch 19-25)
30 Ch 28 (ANOVA)
21 Ch 28 (ANOVA)
31 Ch 28 (ANOVA)
22 Ch 28 (ANOVA)
32 Ch 28 (ANOVA)
33 Ch 26 (Chi-Square Tests)
23 Ch 26 (Chi-Square Tests)
34 Ch 26 (Chi-Square Tests)
24 Ch 26 (Chi-Square Tests)
4
4
4
Withdrawal (Grade of W)
Lab 4 Due at 8:50AM
Easter Friday
Easter Monday
25 Review
35 Ch 26 (Chi-Square Tests)
26 Review
Last Day of Classes;
Assignments
Ch 19-16, 28 Due
Policy about course outlines can be found in section 23.4(2) of the University Calendar.
Disclaimer: Any typographical errors in this Course Outline are subject to change and will be announced in class.
Page 7 of 7