Download Syllabus - Michigan State University`s Statistics and Probability

SYLLABUS – STATISTICS 201
2014 FALL SEMESTER
SECTIONS 07 - 012
INSTRUCTOR:
OFFICE:
TEL:
E-mail:
OFFICE HOURS:
Dr. Elijah DIKONG
C501 Wells Building
8841486
[email protected]
M W 3:30 p.m. - 4:30 p.m. and by appointment
LABORATORY INSTRUCTORS:
Name
Sections
E-mail
BANIK, A.
8, 9
banikasi@stt.
msu.edu
Li, Yingjie
10, 12
liyingj1@stt.
msu.edu
ZHANG, Jingyi
7, 11
Zhang317@st
t.msu.edu
Phone
TBA
Office
TBA
Office hours
TBA
884-1488
C505 WH
TBA
884 - 7831
C522 WH
TBA
Help Room: Statistics Help Room A102 Wells Hall is staffed for certain hours of the week with
teaching assistants to give walk-in help. See Help Room schedule posted on www.stt.msu.edu
Course Web Sites: http://www.stt.msu.edu and http://msu.lon-capa.org will provide course
information. If required, log in with your MSU login name and password.
Course Description: Probability and Statistics with computer applications. Data analysis,
probability models, random variables, tests of hypotheses, confidence intervals, simple linear
regression, and weekly laboratories using Minitab statistical software.
Lecture: MW 05:30 p.m. - 07:50 p.m., 1281 Anthony Hall (1281 ANH)
Laboratory: All laboratory meetings of the class are in 106 FAE.
.
Section 07 Th 12:40p.m. – Section 08 Th 3:00p.m. –
Section 09 Th 05:00 p.m. –
2:30 p.m.
4:50p.m.
06:50p.m.
Section 10 Th 07:00 p.m. – Section 11 Th 10:20 a.m. –
Section 12 F 10:20 a.m. –
08:50p.m.
12:10 p.m.
12:10p.m.
Text: Utts and Heckard, Mind on Statistics: Special Custom Edition for Michigan State
University. ISBN 9781305027381 includes the custom text and the custom MSU STT 201
eBook Printed Access Card. We cover selected topics from Chapters 1 – 4, 7 – 15.
Attendance: You are expected to attend all meetings of the class. If you must miss a class, plan
to get notes for that day from a classmate. Be advised that the schedule on page 4 is tentative.
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Lecture: The lectures are used to present basic ideas. STT 201 is a survey course of the most
practical and commonly encountered statistical concepts and methods. The course is taught at an
elementary mathematical level (college algebra). Students will be using the statistical package
Minitab for Windows, which is installed on computers in laboratories on campus. Minitab is
available for student rental at www.minitab.com. Student will need to use their MSU student email to get the academic pricing for a purchase or rental. The textbook will be followed fairly
closely. The course is divided into four units with an 80-minutes examination following each
unit:
Unit 1: Chapters 1 – 4, followed by Mid-term Examination 1 on Monday, September 23
Unit 2: Chapters 7 – 9, followed by Mid-term Examination 2 on Wednesday, October 15
Unit 3: Chapters 10 – 12, followed by Mid-term Examination 3 on Wednesday, November 05
Unit 4: Chapters 13 – 15, followed by Mid-term Examination 4 on Monday, November 24.
Each mid-term examination is worth 100 points. All four mid-term examinations count toward
course total. Mid-term Examination IV is a take-home examination.
Laboratory Sessions: The laboratory instructors direct Monday and Tuesday laboratory
meetings. Students will be using the statistical package Minitab, release 15, which is installed on
the computers in 106 FAE as well as computers in all computer laboratories on campus. Students
are required to become familiar with the basic commands of Minitab in order to access, store,
create, and analyze data. There will be 13 laboratory assignments each worth 10 points. The
laboratory assignments are included in the course text and posted on the LON_CAPA course
website as well as on the www.stt.msu.edu website. LON_CAPA submission of each laboratory
assignment is due by dates and times specified in the course schedule on the last page of the
syllabus. To facilitate start up directions, please arrive at your laboratory meeting on time. The
computer work can be completed during laboratory sessions; students may finish their reports
outside the laboratory hours and submit them using appropriate forms posted on the course
website. Submission of each laboratory assignment is due during class period on Monday the
week following the laboratory meeting. No late laboratory work will be accepted. Three lowest
laboratory scores will be dropped.
Note: All examinations including a comprehensive final examination are multiple-choice and are
"closed book" and "closed notes". The examinations will contain questions concerning text
material and problems, classroom examples and discussions, and the use of Minitab. Missing an
examination without an advance valid excuse presented to the instructor will result in a score of
0 points. Students who must miss an examination because of medical or family emergency or
other exceptional circumstances should present a valid excuse to Dr. E. Dikong in advance of the
examination whenever possible, to arrange for a make-up.
There will be no excused laboratories. Dropping three lowest laboratory scores will
accommodate those who for some reason must miss a submission of a laboratory assignment.
Academic Integrity: All students are expected to adhere to the University policy on academic
integrity. It is covered in the Spartan Life booklet under General Student Regulations. For more
information about this, please consult the handbook or visit the Spartan Life web sites at
http://www.vps.msu.edu/SpLife/ .
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Evaluation: Points are earned through four mid-term examinations (400 points), cumulative
final examination (200 points), laboratory projects (100 points), and any extra-credit points
earned (through office visits, class participation, attendance, unannounced quizzes, and Top Hat
submissions) (30 points). In determining your total points, your three lowest laboratory scores
will be dropped.
POINTS TOWARD GRADE:
Source
Lecture examinations (4)
Laboratory projects (best 10 of 13) + Extra-Credit
Cumulative Final Examination
Total
Maximum Points
400
100 + (30)
200
700
Your total number of points will be converted into a percentage and your grade will be
determined by the following grading scale:
Numeric Grade
Point Range
Percentage (%)
4.0
3.5
3.0
2.5
2.0
1.5
1.0
0.0
630 – 700
595 – 629
553 – 594
511 – 552
455 – 510
420 – 454
385 – 419
000 – 384
90% - 100%
85% - 89.9%
79% - 84.9%
73% - 78.9%
65% - 72.9%
60% - 64.9%
55% - 59.9%
0.0% - 54.9%
Disclaimer: The instructor reserves the right to make any changes he considers academically
advisable. Changes will be announced in class and posted on the https://msu.lon-capa.org course
website and also on www.stt.msu.edu website. It is your responsibility to keep up with any
changed policies.
IMPORTANT DATES:
Wednesday, August 27:
Monday, September 01:
Wednesday, September 03:
Tuesday, September 23:
Wednesday, October 15:
Thursday, 11/27; Friday, 11/28:
Friday, December 05:
First day of classes.
Labor Day, University is closed.
Online Open-Add period ends
End of 100% refund
Middle of the semester; Last day to drop with no grade
reported
Thanksgiving Holiday (University closed)
Last day of classes for the fall semester
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FINAL EXAMINATION: MONDAY DECEMBER 08, 2014
TIME: 08:00 P.M. – 010:00 P.M.
Suggested Exercises: We have selected some exercises from the textbook that illustrate some of
the ideas presented in class. Your solutions to these problems will not be collected or graded.
The answers to these exercises are found in the textbook, and your solutions will not be collected
or graded. If you encounter difficulty or are slow in solving problems, you should re-study the
material, seek help (at A102 Wells Building or visit me during my office hours), and do
additional exercises to improve your mastery of the concepts and methods.
The textbook uses this terminology for its exercises: Exercise 3.13 refers to exercise 3.13 of
Chapter 3, found on page 102; Exercise 8.27 refers to exercise 8.27 of Chapter 8, found on page
308. These are among the suggested exercises listed below.
Chapter 1: 1.11, 1.13, 1.17, 1.19, 1.25, 1.27, 1.25, 1.39
Chapter 2: 2.1, 2.3, 2.5, 2.13, 2.17, 2.27, 2.29, 2.37, 2.39, 2.51, 2.57, 2.63, 2.85, 2.87, 2.91,
2.93, 2.99, 2.103
Chapter 3: 3.1, 3.3, 3.7, 3.13, 3.19, 3.39, 3.43, 3.61, 3.63, 3.65, 3.81
Chapter 4: 4.3, 4.7, 4.15, 4.17, 4.19, 4.21, 4.37, 4.53, 4.55
Chapter 5: XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
Chapter 6: YYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY
Chapter 7: 7.9, 7.21, 7.23, 7.39, 7.41, 7.45, 7.47, 7.57, 7.59, 7.95, 7.105
Chapter 8: 8.3, 8.9, 8.11, 8.27, 8.29, 8.31, 8.39, 8.43, 8.45, 8.51, 8.63, 8.67, 8.69, 8.71, 8.77
Chapter 9: 9.1, 9.9, 9.13, 9.15, 9.23, 9.37, 9.39, 9.41, 9.47, 9.55, 9.59, 9.61, 9.69, 9.113
Chapter 10: 10.5, 10.7, 10.11, 10.15, 10.19, 10.21, 10.23, 10.35, 10.45, 10.57, 10.63
Chapter 11: 11.3, 11.5, 11.11, 11.13, 11.25, 11.27, 11.43, 11.51, 11.53, 11.83
Chapter 12: 12.3, 12.7, 12.21, 12.49, 12.51, 12.55, 12.63, 12.83
Chapter 13: 13.9, 13.17, 13.23, 13.25, 13.35, 13.39, 13.49, 13.59
Chapter 14: 14.1, 14.5, 14.19, 14.27, 14.47, 14.55
Chapter 15: 15.3, 15.5, 15.9, 15.11
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In addition to the above exercises, practice review problems directly related to mid-term
examinations will be posted on the website www.stt.msu.edu and on LON_CAPA
Tentative Schedule:
Week of
August 25
Monday
No Classes
September 1
Lecture, discussion
Chapter 2
Wednesday
Lecture, discussion
Chapter 1
Lecture, discussion
Chapter 2
September 8
Lecture, discussion
Chap. 2+Chap.3
Lecture, discussion
Chapter 3
September 15
Lecture, discussion
Chapter 4
Lecture, discussion
Chapter 4
September 22
Mid-term
Examination I
Lecture, discussion
Chapter 7
September 29
Lecture, discussion
Chapter 7
Lecture, discussion
Chapter 8
October 6
Lecture, discussion
Chapter 8
Lecture, discussion
Chapter 9
October 13
Lecture, discussion
Chapter 9
Mid-term
Examination II
October 20
Lecture, discussion
Chapter 10
Lecture, discussion
Chapters 10 and 11
October 27
Lecture, discussion
Chapter 11
Lecture, discussion
Chapters 11 and 12
November 3
Lecture, discussion
Chapter 12
Mid-term
Examination III
November 10
Lecture, discussion
Chapter 13
Lecture, discussion
Chapter 13
November 17
Lecture, discussion
Chapter 14
Lecture, discussion
Chapter 14
November 24
Mid-term
Examination IV
Due Date
Lecture, discussion
Chapter 15
Thanksgiving
Holiday
Final Examination
Review
December 1
Friday
Lab
No Lab
Lab 1
Open = 0/27/14
Due = 9/11/14
Lab 2
Open = 9/11/14
Due = 9/18/14
Lab 3
Open = 9/18/14
Due = 9/25/14
Lab 4
Open 9/25/14
Due = 10/02/14
Lab 5
Open = 10/02/14
Due = 10/09/14
Lab 6
Open = 10/09/14
Due = 10/16/14
Lab 7
Open = 10/16/14
Due = 10/23/14
Lab 8
Open = 10/23/14
Due = 10/30/14
Lab 9
Open = 10/30/14
Due = 11/06/14
Lab 10
Open = 11/06/14
Due = 11/13/14
Lab 11
Open = 11/13/14
Due = 11/20/14
Lab 12
Open = 11/20/14
Due = 11/26/14
Lab 13
Open = 11/26/14
Due = 12/04/14
No Lab
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Advice for Students: DON’T FALL BEHIND!! This class moves at a rapid pace.
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Come to class and recitation prepared.
o Read the chapter before lecture.
o Reread the chapter after lecture to see if you have follow up questions.
o Do the suggested exercises before recitation and come prepared with questions.
Form a study group.
Learn how to use your calculator.
Keep a notebook of vocabulary.
Keep a list of reference examples.
Get help if you need it- from the professor, teaching assistant of the Statistics Help
Room.
ATTENDANCE: You are expected to attend all meetings (laboratories/lectures) of the
class. If you miss a class for whatever reason, you are responsible for all materials,
assignments, and deadlines missed. While office hours provide an opportunity for further
clarification of materials covered in class, they will not substitute for classes.
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ACADEMIC HONESTY: The Department of Statistics and Probability adheres to the
policies of academic honesty as specified in the General Student Regulations 1.0,
Protection of Scholarships and Grades, and in the All-University of Integrity of
scholarship and Grades which are included in Spartan Life: Student Handbook and
Resource Guide. Students who plagiarize will receive a grade 0.0 on the assignment, test
or quiz.
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ADA: To arrange for accommodation a student should contact the Resource Center for
People with Disabilities (353-9642) http://www.rcpd.msu.edu/
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LECTURE NOTES: Please visit the class website http://www.stt.msu.edu or
https://msu.lon-capa.org before each class meeting. Print out the summary of the next
lecture and the corresponding class-work, and bring them to class. On the class website
you will also find the syllabus, mid-term review exercises, laboratory assignments with
their due dates, updated course outline, and other pertinent information.

EXTRA CREDIT POLICY: Every two weeks or fortnight, I will assign three or more
exercises on chapters discussed the previous weeks as extra credit exercises. These
exercises are not mandatory. However, if you decide to solve them for extra credit points,
you MUST bring your work to the office and EXPLAIN to me how and why you arrived
at your answer. Please, be reminded that extra credit work for say, week N, cannot be
carried forward to week N+1. If you present to me extra credit work for week N, while
we are already say, in week N+1, I will discuss the solution with you but you will earn no
extra credit. ALL EXTRA CREDIT WORK SUBMITTED TO THE SECRETARY
WITHOUT MY PRIOR KNOWLEDGE, OR SLIPPED UNDER MY OFFICE DOOR
WILL BE PUT INTO THE TRASH BASKET. Office hours or special appointments are
the only times I can receive any student willing to defend his/her extra credit work.
Unannounced quizzes, Top Hat discussions and submissions, attendance, office visits,
will all factor in to the extra-credit points you earn. TAKE ADVANTAGE OF THIS
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POLICY TO CONTINUALLY CURVE YOUR CLASS GRADE THROUGHOUT
THE SEMESTER.
MORE ON STUDENT CONDUCT
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The instructor has the responsibility to teach. Students have the right to learn.
Everyone needs to be respectful of the rights of other people in the class.
Please avoid frequent tardiness. Arriving late and/or leaving early is not acceptable.
Disruptive behavior which impedes the teaching/learning process will not be tolerated
– use of cell phones, audio devices (except tape recorders used to record), and abusive
language are prohibited.
Discussion is encouraged in my classroom. However, please be respectful when the
instructor or other students are speaking: listen attentively, disagree politely, and at all
times avoid ridiculing others. Finding mistakes in my lectures is, however,
encouraged, and is part of the fun.
Talking or whispering during lectures or presentations is not acceptable.
MSU policies regarding harassment will be enforced.
Class lasts entire period. Do not begin packing up or repeatedly checking the clock
(indicating your impatience) before class is dismissed.
Any form of cheating is considered a serious offense and will be dealt with according
to MSU guidelines. All persons involved are considered responsible, including the
person from whom others copy. Thus it is your responsibility to place your materials
in such a way that others will not have an opportunity to copy them. You may be
asked to sit in specific seats so as to spread out exams takers.
CLASS SURVEYS
There will be ONE in-class survey and ONE online survey that are mandatory for each student to
participate in.
DESCRIPTION OF CHAPTERS
CHAPTER 1: What Is Statistics?
 Introductory Video
 Case Study Illustration: Does Aspirin Reduce Heart Attack Rates?
 Types of Statistics (Descriptive and Inferential)
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Chapter 2: Descriptive Statistics
 Some Relevant Statistical Terminologies (data, raw datasets, observations, population
versus sample, parameters versus statistics, variables, categorical, quantitative, ordinal
variables, explanatory and response variables, outliers)
 Numerical Summaries of Quantitative Data (Measures of Central Location – mean,
median; Measures of Variability or Spread – Range, Standard Deviation, Inter-quartile
Range; Measures of Position – Maximum, Minimum, Quartiles)
 Effects of outliers on measures of center and spread
 Displaying Quantitative Data (Boxplots, Histograms, Stem-and-leaf Displays, Dot-plots)
 Describing the distribution of a quantitative variable
 Displaying Categorical Data (Bar charts, Pie charts)
Chapter 3: Linear Relationships between Quantitative Two Variables
 Scatterplots, positive association, negative association, line of best fit, correlation
coefficient, coefficient of determination, residuals, influence of outliers on regression and
correlation
Chapter 4: Relationships between Categorical Variables
 Contingency (Two-Way) tables, Table of percentages, Conditional percentages, Row
percentages, Column percentages
Chapter 7: Probability
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Definition of probability
Probabilistic terminologies: Random experiment, sample space, outcome, event, simple
event, compound event
Operations with events: Intersection of events, union of events, mutually exclusive or
disjoint events, complement of an event
Probability rules: Complementation, addition, general addition, multiplication
Conditional probability and Bayes’ Formula (through tree diagrams)
Chapter 8: Random Variables
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Definition of a random variable; discrete and continuous random variables;
Probability distribution function (pdf); cumulative probability function (cdf);
Expected value (mean), variance, and standard deviation of a discrete random variable;
properties of discrete random variables;
Binomial Random Variable: Binomial experiments, binomial distribution; mean,
variance, and standard deviation of a binomial random variable;
Normal Random Variable: Normal density curves; z – scores; normal and standard
normal distributions;
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The normal approximation to the binomial distribution;
Chapter 9: Understanding Sampling Distributions: Statistics as Random Variables
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Sampling distribution for one sample proportion;
Sampling distribution for difference between two sample proportions;
Sample distribution for one sample mean;
Sampling distribution for the difference between two sample means;
Chapter 10: Estimating Proportions with Confidence
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Confidence interval for a population proportion, p;
Confidence intervals for the difference in two population proportions;
Chapter 11: Estimation Means with Confidence
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Confidence interval for a population mean;
Confidence interval for the difference in two population means;
Chapter 12: Testing Hypotheses about Proportions
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z – Test for one proportion;
Type I, Type II errors;
z – Test for the difference in two proportions;
Chapter 13: Testing Hypotheses about Means
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One – sample t – Test;
Type I, Type II errors;
Two – sample t – Test (pooled);
Chapter 14: Inference about Simple Regression
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Simple linear regression model: Population and sample Versions;
Chapter 15: Inference for Categorical Variables
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Chi – Square Test of a relationship between two variables
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