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********************************************************** INSTRUCTOR: Mun Son,

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********************************************************** INSTRUCTOR: Mun Son,
STATISTICS 211 (#15018)
Statistical Methods I
Spring 2016
**********************************************************
INSTRUCTOR:
Mun Son, [email protected]
Rm. 309 Math/Stat Dep't., 16 Colchester Ave. (The Lord House)
656-4329(O), 879-0721(R), 734-2521(CP)
Office Hours: TR: 2:45pm - 4:15pm
or by appointment.
Basically I keep an open door policy.
GTF: Mr. Andrew Sparks, [email protected], 656-3372(O)
301 Pearl House (12 Colchester Avenue)
Office Hours: M, W --- 2:00 – 4:00 pm
CLASSROOM & CLASS HOURS: 1:15 pm - 2:30 pm TR, 209 Votey,
Jan 19, 2016 – May 13, 2016.
TEXTBOOK:
A First Course in Statistical Methods
by R. Lyman Ott, Michael Longnecker, Brooks/Cole
(ISBN -13: 978-0-534-40806-0)
Corrections to the book:
p.158: "Standard Error of Ybar" should be "Standard Deviation of Ybar"
p.201: (Section title and definition) "the level of significance of the statistical test" should be
"the _OBSERVED_ level of significance of the statistical test."
p.228: (4.) The denominator for the Z-statistic should be sigma/(square_root(n))
p.228: (5.) The denominator for the T-statistic should be s/(square_root(n))
p.234: (Blue Box #3) "Standard _Error_" should be "Standard _Deviation_"
p.243: (Blue Box) Delete the words "and with df = n1 + n2 - 2 after the Rejection Region.
p.283: (12.a. & b.) Remove the coefficient of 2 in the numerator for the two sample size formulas.
The answer to #10.31 in the back of the book is incorrect. It should be 0.0025 < p-value < 0.005
Note: In some cases the book states "give the level of significance for your test" when it is referring to
the p-value.
The p-value is sometimes [confusingly] referred to as the "observed level of significance."
Be aware that the book sometimes leaves off the word 'observed'.
JMP and (SAS), computer statistics software will be used.
JMP is available to all UVM students for free -- you do not have to buy it.
Go https://www.uvm.edu/software/ and choose your platform (PC or Mac -- not available for Linux),
then choose the latest JMP (not the Pro version). If you have trouble downloading, contact the helpline
(802-656-2604) or check here for other types of help: http://www.uvm.edu/it/help/.
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You can sign up for an On-Demand Webcast called "Getting Started with JMP"
at this URL: http://www.jmp.com/webforms/jmp_start_ondemand.shtml
Live introduction to JMP webcasts are held weekly. You can register for one
at: http://www.jmp.com/about/events/webcasts/index.shtml
Course description:
This course has two major objectives. (1) You will gain an understanding of several techniques used
in the statistical analysis of data, including the underlying statistical models, and how they relate to
specific research questions. (2) You will also learn how to implement and interpret analyses for different
types of studies using statistical software. Putting this information together will allow you to formulate
a research hypothesis, determine an appropriate statistical analysis method, carry out the analyses, and
interpret the results. We will discuss ways of determining appropriate numbers of subjects/units to include
in experiments and methods for verifying assumptions that underlie the statistical models.
I expect that you will read the material in the text before we discuss it in class.
COURSE OUTLINE: Chap. 1 - Statistics and the Scientific Method
Chap. 2 - Collecting Data Using Surveys and Scientific Studies
Chap. 3 – Summarizing Data
Chap. 4 - Probability and Probability Distributions
Chap. 5 - Inferences about Population Central Values
Chap. 6 - Inferences Comparing Two Population Central
Values
Chap. 7 - Inferences about Population Variances
Chap. 8 - The Completely Randomized Design
Chap. 9 – More Complicated Experimental Designs (Some Sections)
Chap. 10 – Categorical Data
Chap. 11 - Linear Regression and Correlation.
Chap. 12 – Multiple Regression (Some Sections)
GRADING: Homework - 15%( Answers to odd numbered problems can be found in the back of the text.)
Project 05%(Due Tuesday, May 3, 2016)
Exam I 25% (2/16/16, Tue)
Exam II 25% (3/29/16, Tue)
Final
30% (5/10/16, Tue, 10:30 – 13:15, 209 Votey, Comprehensive)
All students are expected to regulate their class attendance.
Spring 2016*
Martin Luther King Holiday
First Day of Classes
Last Day to Add Classes without Instructor
Permission
Add/Drop, Pass/No Pass, Audit Deadline1
Presidents' Day Holiday
Town Meeting Day Recess
Spring Recess
Last Day to Withdraw1
Honors Day
Last Day of Classes
Reading and Exam Period
Reading Days
Exam Days
Commencement - Graduate
Commencement - Undergraduate
Commencement - Medical
Early Registration for Fall 2016 begins in April.
Jan 18
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Jan 25
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Feb 1
Feb 15
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Mar 7-11
Apr 4
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May 4
May 5-13
May 5,11
May 6,9,10,12,13
May 21
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May 22
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