# MATH220 Introduction to Statistics Fall 2009 Instructor Lihua

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```					                MATH220 Introduction to Statistics Fall 2009

Instructor: Lihua Chen
Office: Roop Hall 328    Office phone: 540-568-5106
Office hours: TR 3:30-4:30   W 2:00-5:00 and by appointment
Email: chen3lx@jmu.edu
Text: Statistics: The Art and Science of Learning from Data, Alan Agresti,
Christine Franklin, 1st edition.
Course Website: http://www.math.jmu.edu/ chen3lx/math220
Evaluations:
Tests (3, 100 pts each)
Quizzes(50 pts)
Final (200 pts)
Homeworks(100 pts)
Grading scale: If you reach these scores, you are guaranteed at least the
corresponding grade: A :≥ 92, B :≥ 82, C :≥ 72, D :≥ 62. The actual cutoﬀ
points may depend upon the performance of the class and the diﬃculty of the
material.
Testing and homework policy: You are responsible for all material either
through lectures, handouts, or the textbook. Unannounced quizzes will be given
and quizzes may NOT be made up. Late homeworks will NOT be accepted. Up
to two quizzes and one homework with lowest scores may be dropped. Up to
one test may be missed with the ﬁnal worth an extra 100 points.
If you complete all homeworks, quizzes and tests, you have the option of
taking a grade based on those scores and dropping the ﬁnal exam grade. Your
grade will be available on the review day prior to ﬁnals week. To choose this
option, you must be present to turn in written notice on that review day.
Final exam: The ﬁnal will be given at the scheduled exam time.
Others:
For locations of computers, see
http://www.jmu.edu/computing/labs/locations/index.html
The Learning Center oﬀers free tutoring in Math 220 in Roop 200. For
additional information, see www.jmu.edu/smrc or call 568-3379.
The ﬁnal date to withdraw with a ”W” is October 22.

Tentative Outline
Chapter 1:    Statistics: the art and science of learning from data
What is statistics, Sample and Population, Statistics software

Chapter 2: Exploring data with graphs and numerical summaries
Types of data, Visualizing data, Measures of center,

1
Chapter 3: Association: contingency, correlation, and regression
Association between two categorical variables,
Association between two continuous variables,
Predicting an outcome

(Test 1)

Chapter 4:    Gathering data
Experiment and observational study, Good ways to sample,
Good ways to experiment

Chapter 5:    Probability in our daily lives
Probability to quantify uncertainty, Finding the probability,
Conditional probability

Chapter 6:    Probability distributions
Bell-shaped distributions, Binomial distributions,
Sampling distribution

(Test 2)

Chapter 7:    Statistics inference: confidence intervals
Point and interval estimate, Estimate a population proportion,
Estimate a population mean, Sample size determination

chapter 8:    Statistical inference: significance tests about hypotheses
Significance tests about proportions and means

chapter 9:    Comparing two groups
Compare two proportions, Compare two means

(Test 3)

chapter 10: Analyzing the association between categorical variables
Independence and association, Test independence
Measure the strength of association, Fisher’s exact test
This is a tentative schedule. The actual contents may be altered based on the
time limitation and the needs of the students.

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