My office is located in Appleby Center (AC) 222D. If you need to meet with me, please call ext. 4378 to set up an appointment.
EXAMS
There will be 2 unit exams (each worth 200 points) in this course. I do not give Make-up Exams or "Incompletes."
ATTENDANCE POLICY
If you have more than 2 unexcused absences, your course grade will be lowered by one letter grade. If you have more than 4 unexcused absences, you will be given a failing grade in the course. 3 tardies to class will result in 1 unexcused absence. Special needs must be discussed with me in advance of the absence. If you participate in official University activities (athletics, debate, etc.), you need to provide a schedule of events that will require you to miss class. When you miss class, you are responsible for obtaining all class notes, information, etc. from another class member.
MAKE-UP POLICY
Late Assignments: If it isn’t here when it’s due, it’s late. Homework assignments are due at the beginning of class. Trouble with computers is not a valid reason for turning an assignment in late. A 50% reduction in points is assessed if an assignment is turned in late during class, later that day, or the next day. An additional 10% is assessed for each subsequent day. For example, a Tuesday assignment turned in on Thursday loses 60%.
Missed Exams: If you miss an exam, you will receive a zero on the exam. There are no make-up exams unless arrangements have been made prior to the exam and only as a result of severe illness (documented by the Student Health Center) or other significant reason documented and approved by me in advance.
HOW TO SUCCEED IN THE COURSE
• Read the material prior to the day that it will be covered.
• Don’t fall behind; every day is like a week in a normal semester. You won’t have enough time to catch up.
• Come to class prepared to discuss and/or do board work.
• Don’t hesitate to ask questions; there is no such thing as a stupid question!
• Bring your text, notebook, and calculator every day.
COURSE OUTLINE
I. Introduction to the Course
A. Chapter 1 - The Nature of Statistics and the Collection of Data
II. Descriptive Statistics
A. Chapter 2 - The Presentation of Data: Tables and Graphs
B. Chapter 3 - The Presentation of Data: Summary Measures
III. Probability Concepts: The Foundations of Inference
A. Chapter 4 - The Theory of Probability
B. Chapter 5 - Discrete Probability Distributions
C. Chapter 6 - Continuous Probability Distributions
IV. Analytical Statistics: Basic Inference
A. Chapter 7 - Sampling Distributions
B. Chapter 8 - Estimation
C. Chapter 9 - Hypothesis Testing: Classical Techniques
D. Chapter 10 - Hypothesis Testing: The Chi-Square Technique
V. Analytical Statistics: Advanced Inference
A. Chapter 11 - Experimental Design and Analysis of Variance
B. Chapter 12 - Simple Regression and Correlation
C. Chapter 13 - Multiple Regression and Correlation
TENTATIVE DAILY SCHEDULE
Unit 1
Day 1
Introduction to course, expectations, prerequisites, math review
Chapter 1 - The Nature of Statistics and the Collection of Data
Day 2
Chapter 2 - The Presentation of Data: Tables and Graphs
Day 3
Chapter 3 - The Presentation of Data: Summary Measures
Day 4
Chapter 4 - The Theory of Probability
Day 5
Chapter 4 - The Theory of Probability
Day 6
Chapter 5 - Discrete Probability Distributions
Data Collection Assignment #1 due
Day 7
Chapter 5 - Discrete Probability Distributions
Day 8
Chapter 6 - Continuous Probability Distributions
Day 9
Chapter 6 - Continuous Probability Distributions
Data Collection Assignment #2 due
Day 10
Unit 1 Exam (Chapters 1-6)
Unit 2
Day 11
Chapter 7 - Sampling Distributions
Day 12
Chapter 8 - Estimation
Day 13
Chapter 9 - Hypothesis Testing: Classical Techniques
Day 14
Chapter 10 - Hypothesis Testing: The Chi-Square Technique
Data Collection Assignment #3 due
Day 15
Chapter 11 - Experimental Design and Analysis of Variance
Day 16
Chapter 12 - Simple Regression and Correlation
Day 17
Chapter 12 - Simple Regression and Correlation
Day 18
Chapter 13 - Multiple Regression and Correlation
Data Collection Assignment #4 due
Day 19
Chapter 13 - Multiple Regression and Correlation
Day 20
Unit 2 Exam (Chapters 7-13)