Math 382
Elementary Applied Statistics
Math 283
Spring 2010
Text: Introduction to the Practice of Statistics , Sixth Edition, by David S Moore and George P. McCabe
Instructor: Dr. Anwar Hossain Office: Weir 238 Phone: 835 - 5135
E - mail: hossain@nmt.edu Office Hours: M 8:00-10:00am and 1:00-3:00pm
TR 8:30- 9:30, 11:00-12:00
Friday 8:00-11:00 or by appointment
Course Content: Chapters 1-13.
Objective: Inferences, decisions, and predictions play a vital role in everyday life as well as in organized research. In many cases, a knowledge of statistics will allow a quantitative assessment of risk involved with each inference and hence improve inference-making abilities. Our goal will be to learn
• Basic techniques of solving elementary probability problems.
• Basic methods in descriptive and inferential statistics.
• To recognize how statistical methods may provide insight when solving problems in various academic disciplines.
• How to critically analyze the content of newspaper and magazine articles in quantitative and objective fashion.
• How to use statistical packages (Minitab and SAS).
Policies: You are responsible for all material in the assigned chapters whether it is discussed or not. You are also responsible for the material presented in class. It is your responsibility to attend class, be current with homework and take exams on time.
Attendance: I expect students to attend all classes, take notes and participate in class discussions. Attendance may be used in determining your final grade.
Homework: Homework is due by 3:30 pm on the assigned due date. Late homework will not be accepted. The lowest two homework scores will be dropped. All homework will be done neatly with work shown to receive full credit. Any grading issues should be submitted in writing within a week of the return date.
Testing: Students are expected to take tests on the announced dates. If a student is unable to take a test because of a legitimate reason, the student must make prior arrangements with me.
|Grades: Your final grade will be 15% homework, | | | |
|15% lab, 45% for three one - hour exams and 25% for the |90 – 100 |A | |
|comprehensive final. | | | |
| | | | |
| |89 – 80 |B | |
| | | | |
| |79 – 70 |C | |
| | | | |
| |69 – 60 |D | |
| | | | |
| |59 or less |F | |
Help: If you are struggling with the homework or need assistance preparing for an exam, please get help. You can come see me during my office hours or set up an appointment to meet at a special time. Another great place to get help is the drop in tutoring lab in Weir 220.
TOPICS OF THIS COURSE:
1. Chapter 1: Displaying distributions, descriptive Statistics, density curves, and normal distributions.
2. Chapter 2: Relationships- Correlation and Regression.
3. Chapter 3: Design of experiments and sampling design.
4. Chapter 4: Basic concepts of probability, Addition Rule, Multiplication Rule: Basics Multiplication Rule, Complements and Conditional Probability,
Random variables, Mean, and variance.
5. Chapter 5: Sampling distributions for counts and proportions, Binomial distributions and Normal approximation for counts and proportions.
6. Chapter 6: Statistical inference: Basic concepts of estimation, basic concepts of hypothesis testing, confidence intervals, Estimating a Population Mean: σ known, Estimating a Population Mean: σ not known , Testing a Claim about a Mean: σ not known.
7. Chapter 7: One-sample T statistic, comparing two Population Means: The two sample Z statistics, the two sample t procedures, the two sample t confidence interval.
8. Chapter 8: Inference for a single proportion, Testing a Claim About a Proportion and comparing two proportions.
9. Chapter 9: Inference for two-way tables and goodness of fit test
10. Chapter 10: Inference for correlation & regression.
11. Chapter 11: Multiple regression and inference for multiple regression.
12. Chapter 12: One-way analysis of variance and inference for one-way analysis of variance.
13. Chapter 13: Two-way analysis of variance and inference for two-way analysis of variance.
Tentative Exams schedule:
Exam 1: Chapter 1- Chapter 4
Exam 2: Chapter 5 – Chapter 6
Exam 3: Chapter 7 – Chapter 11 or 12
Review for Final Exam
Final Exam during Final exam week ( May 8-May 13).
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