Download Math 225-01, Spring 2012 Introduction to Biostatistics Professor: Dr

Math 225-01, Spring 2012
Introduction to Biostatistics
Professor:
E-mail:
Class Hours:
Room:
Textbook:
Course Website:
Prerequisites:
Dr. Eric Ruggieri
[email protected]
Monday, Wednesday, Friday 11:00-11:50
220 College Hall
Biostatistics for the Biological and Health Sciences by Triola and Triola
Blackboard
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: http://www.duq.edu/academicaffairs/_pdf/academic-integrity-policy.pdf
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 http://www.duq.edu/special-students/policies.cfm
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
above).
Course Calendar (subject to change)
Date
Jan 9 – M
Jan 11 – W
Jan 13 – F
Jan 16 – M
Jan 18 – W
Jan 20 – F
Jan 23 – M
Jan 25 – W
Jan 27 – F
Section
1.1-1.2
1.2-1.3
2.1-2.3
2.1-2.3
2.4
2.5
2.6
2.7
Topic
Syllabus; Types of Data
Design of Experiments
Visualizing Data
No Class! MLK Day
Visualizing Data, cont.
Measures of Center
Measures of Variation
Measures of Relative Standing
Exploratory Data Analysis
Jan 30 – M
Feb 1 – W
Feb 3 – F
Feb 6 – M
Feb 8 – W
Feb 10 – F
Feb 13 – M
Feb 15 – W
3.1-3.3
3.3-3.4
3.5
3.6
1.1-3.6
1.1-3.6
4.1-4.2
4.3, 3.8
Intro to Probability; Probability Rules
Addition and Multiplication Rules
Multiplication: Beyond the Basics
Risk and Odds
Catch Up / Review for Exam #1
Exam #1 – Chapters 1-3
Discrete Probability; Random Variables
Binomial Distribution; Counting
Feb 17 – F
Feb 20 – M
4.3-4.4
4.5, 5.1-5.2
Binomial Distribution, cont.
Poisson, Uniform Distributions
Feb 22 – W
5.2
Feb 24 – F
5.3
Feb 27 – Mar 2
Mar 5 – M
5.6
Mar 7 – W
5.4
Mar 9 – F
5.4
Mar 12 – M
5.5
Mar 14 – W 6.1-6.2
The Standard Normal Distribution
Applications to the Normal Distribution
No Class! Spring Break!
Normal Approx. to the Binomial
Sampling Distributions
Sampling Distributions, cont.
Central Limit Theorem
Estimating a Population Proportion
Notes
Date
Section
Topic
Mar 16 – F
Mar 19 – M
6.2
6.3
Estimating a Population Proportion, cont.
Estimating a Population Mean, σ known
Mar 21 – W
Mar 23 – F
6.4
6.5
Estimating a Population Mean, σ unknown
Estimating a Population Variance
Mar 26 – M
Mar 28 – W
4.1-6.5
4.1-6.5
Review for Exam #2
Exam #2 – Chapters 4-6
Mar 30 – F
Apr 2 – M
7.1-7.2
7.3
Introduction to Hypothesis Testing
Testing a Claim: Proportion
Apr 4 – W
Apr 6-9
7.4-7.5
Testing a Claim: Mean
No Class! Easter Break
Apr 10 – T
Apr 11 – W
7.6
8.1-8.2
Testing a Claim: Variance
Testing a Claim: Two Proportions
Apr 13 – F
Apr 16 – M
8.3
8.3
Testing a Claim: Two Means
Testing a Claim: Two Means, cont.
Apr 18 – W
Apr 20 – F
8.4
Matched Pairs Inference
Project Presentations
Apr 23 – M
Project Presentations
Thursday April 26th – Final Exam, 8:30AM – 10:30AM
Notes
Monday Schedule
Last Day of Class