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STAT 250
INTRODUCTION TO BIOSTATISTICS
“This course will cover statistical analysis and interpretation of data in the biological sciences;
probability; distributions and statistical inference for one and twosample problems.”
3 credits
Prerequisite: 3 credits in mathematics
Objectives:
In this course you will gain problem solving skills that will allow you to decide for yourself if
research involving data is trustworthy or not.
Mathematical calculations are necessary but more important
is interpreting the values computed.
At the end of the semester you will be able to organize data using
numerical and graphical summaries, apply properties to data based on the distribution that it follows,
make calculations that prove or disprove a hypothesis, interpret the trend in new data compared to a
previous standard, diagnose the trustworthiness of inference, collect data without bias and diagnose bias
in collected data.
Faculty Contact:
TA information:
Jenny Shook
Zhe Chen
416 Thomas
316 Thomas
(814) 8656164
(814) 8633238
Email:
Use ANGEL
Email:
Use ANGEL
Office hours:
Office hours:
Monday 1011am
Wednesday 12:152:15pm
Thursday 11am12noon
Friday 12pm
Materials:
Textbook:
Marcello Pagano and Kimberlee Gauvreau’s
Principles of Biostatistics
Second Edition,
Duxbury.
Calculator:
Any kind that can compute a square root (graphing ok) – cell phones prohibited.
Vocabulary Journal:
A journal in which you can log vocabulary terms and their definitions, by hand,
from the textbook as you read (loose leaf paper is acceptable).
Essentials:
Notebook or paper to take notes on lectures, to work out problems in class; pen, pencil,
eraser, etc.
Computer
:
One day each week you will have the use of a computer in class (lab).
Outside of class,
any computer on campus can provide the same information as do the ones in class.
You will need to
access ANGEL regularly for all course information.
Course Format:
You are encouraged to travel through the world of biostatistics with your classmates.
Each week,
you will receive a reading assignment to complete before the first lecture.
The lecture will present
examples that illustrate the concepts in the reading assignment.
The following class will be time for the
teacher and classmates to work together through examples illustrating concepts from the reading, adding
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 Spring '07
 SHOOK,JENNIFERLYCHEN,ZHE
 Statistics, Biostatistics, Probability

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