Math 225-01_ Spring 2012 Introduction to Biostatistics Professor Dr

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Math 225-01_ Spring 2012 Introduction to Biostatistics Professor Dr Powered By Docstoc
					                                       Math 225-01, Spring 2012
                                      Introduction to Biostatistics

Professor:               Dr. Eric Ruggieri
Class Hours:             Monday, Wednesday, Friday 11:00-11:50
Room:                    220 College Hall
Textbook:                Biostatistics for the Biological and Health Sciences by Triola and Triola
Course Website:          Blackboard
Prerequisites:           None

Welcome to Math 225: Introduction to Biostatistics! This is a one semester course which will introduce
you to probability and statistical inference. At the end of this course, you will be able to:
    1) Gain a solid understanding of the foundations of probability and statistical inference as applied
        to clinical trials, medicine, and other applications of a biological nature
    2) Describe data sets using both graphical tools and numbers, such as mean and standard deviation
    3) Understand the variation inherent to a sample from a population
    4) Make inferences about a variable in question (Hypothesis Tests and Confidence Intervals)

The course calendar that follows will briefly describe each of the topics that we will cover. The class will,
for the most part, follow the textbook, Biostatistics for the Biological and Health Sciences by Triola and
Triola. Although not enforced, class attendance and reading of the designated sections of the text prior
to class are highly recommended.

Should you ever need help with this course, there are several great options available to you:
   1) Ask a classmate for help
   2) Stop by my office during office hours or make an appointment to see me
   3) Departmental Tutoring – Meet one-on-one with former Statistics students.
   4) Meet with the TA for our course. Hours and location forthcoming.

Additional Course Policies:

Academic Integrity: A student found cheating on an examination or assisting others in the course of an
examination will receive an F for the course and will be subject to further sanctions. Copying another
student’s assignment is considered cheating and will result in receiving a 0 for that assignment. As
previously stated, you are encouraged to work together on homework assignments. However, each
student is expected to write out their own solutions. For more information, please see the University’s
Academic Integrity Policy, which can be found at:

Information for Students with Disabilities: Duquesne University is committed to providing all students
with equal access to learning. If you think you have a disability requiring accommodations, you must
register with the Office of Freshman Development and Special Student Services in 309 Duquesne Union
(412-396-6657) in order to receive reasonable accommodations in this course. Once a disability is
officially documented at Duquesne by this office, and with your permission, instructors will receive
letters outlining the reasonable accommodations they are required to make. Once I have received this
letter, you and I should meet to coordinate the way these will be implemented in this course. For more
information, go to

Calculators: A calculator is highly recommended but not required. You do not need to go out and buy a
graphing calculator - a basic calculator will be sufficient for our course. Using your cell phone as a
calculator is not permitted since phones are meant as communication devices (See Academic Integrity

Course Calendar (subject to change)

Date           Section        Topic                                             Notes
Jan 9 – M      1.1-1.2        Syllabus; Types of Data
Jan 11 – W     1.2-1.3        Design of Experiments
Jan 13 – F     2.1-2.3        Visualizing Data
Jan 16 – M                    No Class! MLK Day
Jan 18 – W     2.1-2.3        Visualizing Data, cont.
Jan 20 – F     2.4            Measures of Center
Jan 23 – M     2.5            Measures of Variation
Jan 25 – W     2.6            Measures of Relative Standing
Jan 27 – F     2.7            Exploratory Data Analysis
Jan 30 – M     3.1-3.3        Intro to Probability; Probability Rules
Feb 1 – W      3.3-3.4        Addition and Multiplication Rules
Feb 3 – F      3.5            Multiplication: Beyond the Basics
Feb 6 – M      3.6            Risk and Odds
Feb 8 – W      1.1-3.6        Catch Up / Review for Exam #1
Feb 10 – F     1.1-3.6        Exam #1 – Chapters 1-3
Feb 13 – M     4.1-4.2        Discrete Probability; Random Variables
Feb 15 – W     4.3, 3.8       Binomial Distribution; Counting
Feb 17 – F     4.3-4.4        Binomial Distribution, cont.
Feb 20 – M     4.5, 5.1-5.2   Poisson, Uniform Distributions
Feb 22 – W     5.2            The Standard Normal Distribution
Feb 24 – F     5.3            Applications to the Normal Distribution
Feb 27 – Mar 2                No Class! Spring Break!
Mar 5 – M      5.6            Normal Approx. to the Binomial
Mar 7 – W      5.4            Sampling Distributions
Mar 9 – F      5.4            Sampling Distributions, cont.
Mar 12 – M     5.5            Central Limit Theorem
Mar 14 – W 6.1-6.2            Estimating a Population Proportion
Date          Section       Topic                                       Notes
Mar 16 – F    6.2           Estimating a Population Proportion, cont.
Mar 19 – M    6.3           Estimating a Population Mean, σ known
Mar 21 – W    6.4           Estimating a Population Mean, σ unknown
Mar 23 – F    6.5           Estimating a Population Variance
Mar 26 – M    4.1-6.5       Review for Exam #2
Mar 28 – W    4.1-6.5       Exam #2 – Chapters 4-6
Mar 30 – F    7.1-7.2       Introduction to Hypothesis Testing
Apr 2 – M     7.3           Testing a Claim: Proportion
Apr 4 – W     7.4-7.5       Testing a Claim: Mean
Apr 6-9                     No Class! Easter Break
Apr 10 – T    7.6           Testing a Claim: Variance                   Monday Schedule
Apr 11 – W    8.1-8.2       Testing a Claim: Two Proportions
Apr 13 – F    8.3           Testing a Claim: Two Means
Apr 16 – M    8.3           Testing a Claim: Two Means, cont.
Apr 18 – W    8.4           Matched Pairs Inference
Apr 20 – F                  Project Presentations
Apr 23 – M                  Project Presentations                       Last Day of Class

Thursday April 26th – Final Exam, 8:30AM – 10:30AM

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