Download MAT22 Introduction to Statistics

MAT22 Introduction to Statistics
Basic Information
Instructor Name
Tolga Koker
Home Institution
Yale University
Email
[email protected]
[email protected]
by Appointment
Office Hours
COURSE DESCRIPTION
This course introduces statistical reasoning, emphasizing how statistics can help us
understand the world. Topics include numerical and graphical summaries of data, data
acquisition and experimental design, probability, hypothesis testing, confidence intervals,
correlation and regression. Students will learn to apply statistical concepts to data and reach
conclusions about real-world problems.
Thus, by the end of this class, students will be able
to analyze for themselves different aspect of everyday life, and hence, make informed
decisions about them.
This course is intended to be accessible to all students having a basic knowledge of high
school algebra. Students will be challenged by statistical reasoning, not by mathematical
manipulations. If you have any concerns about whether you are ready (over-prepared) for this
course, please speak with me. This is an introductory course with no prerequisites.
COURSE OBJECTIVES
The course is designed to provide a solid background on how statistics works and improve
student’s intuition on statistical applications.
COURSE HOURS
The course has 20 class sessions in total. Each class session is 120 minutes in length. The
course meets from Monday to Friday. Each course has a total of 40 class hours (4 credit hours).
READINGS
MAIN TEXTBOOK: Richard D. De Veaux, Paul Velleman and David E. Bock, Intro Stats, 84h
ed. Pearson Publishers, New York, 2014.
ISBN-10: 0321825276 • ISBN-13: 9780321825278 (International ed. is OK.)
SUPPLEMENTARY TEXT: Grady Klein and Alan Dabney, The Cartoon Introduction to
Statistics, Farrar, Straus and Giroux Publishers, New York, 2013.
ISBN-13: 9780809033591
ANCILLARY READINGS
Students are also responsible for making themselves familiar with ActivStats (Data DVD) that
comes with the textbook and using one of the statistics computer program (Minitab, SPSS, etc.)
whose user manual to some extent detailed in the textbook.
Students may get some extra help from the textbook’s website at:
http://www.pearsonhighered.com/educator/product/Intro-Stats-4E/9780321825278.page
Students are also strongly advised, whenever needed, to consult any edition of one of the
following Introductory Statistics books for further references:
Richard D. De Veaux, Paul Velleman and David E. Bock, Stats: Data and Models, Pearson.
Neil A. Weiss, Introductory Statistics, Addison-Wesley.
RobertGould and Colleen N. Ryan, Introductory Statistics, Pearson.
REQUIREMENTS
The most important requirements for the course are class attendance and completing
the readings and homeworks as assigned.
participation will contribute to final letter grade.
Class attendance and constructive
The understanding of statistics will
be enhanced through exposure to different types of material, which are cumulative.
For this reason, students should keep up with the readings.
Otherwise, they are most
likely be overwhelmed at exam time and lost in space in class.
It is recommended that
students regularly study at least 3-4 hours everyday outside the lectures.
The requirements for the course also include two quizzes, a midterm exam, a final exam,
eight problem sets. Each student is encouraged to work with fellow classmates on
problem sets, but each must each hand in his/her solutions. Please note the due dates
for the assignments. All the information pertaining to this course, including the problem
sets will be posted online.
Since the answer key to each problem set will be posted at
its due date no late problem set will be accepted.
It is students’ responsibility to check
the web site announced at the beginning of the lectures periodically.
The exam dates are as follows:
Quiz I:
At the End of the First Week
Midterm:
At the End of the Second Week
Quiz II:
At the End of the Third Week
Final:
At the End of the Fourth Week
N.B. These dates will not be changed for any students, and there will be no make-ups. No student will be given
special privileges that are unavailable to other students. All students are expected to take every exam and submit
their solution to problem sets. If a student misses the midterm due to a documented reason, his/her grade will be
weighted based on his/her other exam. Every student must take the final exam in order to get a letter grade.
GRADING
The quizzes will account for 30 percent (each 15 percent) the midterm for 20 percent,
the final for 30 percent, the problems sets for 20 percent (each 2.5 percent).
Cheating Policy: If you cheat once in any exam, you will fail this course in addition to whatever other
penalties the university may levy.
OFFICE HOURS
Please do not hesitate to stop me just after class if you are having problems with the
material. I am always willing to help in any way that I can. Often a difficulty with a
topic can be easily resolved by talking with me.
COURSE SCHEDULE
All items on this outline are subject to change at the instructor's sole discretion. Depending on
class discussions, some topics may be covered more quickly or more slowly.
TOPICS & READINGS
PART I: Exploring and Understanding Data
Ch. 1— Stats Starts Here!
Ch. 2— Displaying and Describing Categorical Data
Ch. 3— Displaying and Summarizing Quantitative Data
Ch. 4— Understanding and Comparing Distributions
Ch. 5— The Standard Deviation as a Ruler and the Normal Model
*** QUIZ I ***
Part II. Exploring Relationships Between Variables
Ch. 6— Scatterplots, Association, and Correlation
Ch. 7— Linear Regression
Ch. 8— Regression Wisdom
Part III. Gathering Data
Ch. 9— Understanding Randomness
Ch. 10— Sample Surveys
Ch. 11— Experiments and Observational Studies
*** MIDTERM ***
TOPICS & READINGS
Part IV. Randomness and Probability
Ch. 12— From Randomness to Probability
Ch. 13— Probability Rules!
Ch. 14— Random Variables and Probability Models
Part V. From the Data at Hand to the World at Large
Ch. 15— Sampling Distribution Models
Ch. 16— Confidence Intervals for Proportions
Ch. 17— Testing Hypotheses About Proportions
Ch. 18— Inferences About Means
Ch. 19— More About Tests and Intervals
*** QUIZ II ***
Part VI. Learning About the World
Ch. 20— Comparing Groups
Ch. 21— Paired Samples and Blocks
Ch. 22— Comparing Counts
Ch. 23— Inferences for Regression
***
FINAL
***
GOOD LUCK!
HOPE YOU ALL WILL ENJOY THE COURSE!