Download FAYETTEVILLE STATE UNIVERSITY

FAYETTEVILLE STATE UNIVERSITY
College of Arts and Sciences
Department of Mathematics and Computer Science
1. LOCATOR INFORMATION:
Semester
: Spring 2005
Course Number and Name
: STAT 202 (Basic Probability and Statistics)
Number of Semester Hours of Credit
:3
Day, Time and Place Class Meets
: MWF 04:00-04:50 p.m.
SBE 145
: TR 12:30-1:45 p.m.
SBE 109
Final Exam
:
Instructor
Name: Asitha Kodippili
Office Location: SBE 335 C
Office Hours: TR 2:00-4:00 p.m
Email: [email protected]
Telephone: 910-672-1518
2. COURSE OBJECTIVE:
The aim is to introduce basic concepts of probability and statistics, descriptive
and inferential, with emphasis on the applications. After the completion of the
course, students would have a fairly good background which would enable them
to apply these concepts to better understand and solve real life problems in
business and social sciences.
3. TEXTBOOK: Allen G. Bluman (2004) Elementary Statistics: A step-by-step
Approach McGraw Hill Fifth Edition.
4. EVALUATION CRITERIA: Evaluation in the course shall be by continuous
assessment. Mode of assessment would include homework assignments, chapter
exams, class attendance and participation, and final examination. The grading
scale for determining the course grade and weights given to various activities are
given below.
A = 90-100%
B = 80-89%
C=70-79%
D=60-69%
F=Below 60%
Homework/Project : 25 points (Two lowest homework grades will be dropped)
Tests (4)
: 45 points (Lowest test grade will be dropped)
Final Exam
: 30 points
*** 5 bonus points for proper attendance and participation
5. COURSE REQUIREMENTS:
 Pre-requisite: MATH 123, MATH 131, or consent of the department.
 The student is expected to pre-study each lesson in advance, complete all
assignments, and spend adequate time on class work to insure success in
the course. At least two hours of study is expected for each class hour.
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It is the responsibility of the student to avail himself/herself at all class
meetings, and obtain additional help as needed. Consult the University
Catalogue on Class Attendance Policy.
Students are expected to enter the classroom on time and remain until the
class ends. Late arrivals and early departures without appropriate
excuses will not be tolerated.
Each student is encouraged to participate in class discussion for a clearer
understanding and meet with the instructor when additional assistance is
needed.
All class discussions should be done in a soberly, orderly, and respectful
manner
6. TEACHING STRATEGIES: The teaching strategy for the course will vary
depending upon the learning styles and strengths of the students enrolled. It is
expected that the instructor will place emphasis on lectures, discussions, review
and analysis, graphing calculator and statistical software usage, and cooperative
learning.
7. COURSE OUTLINE:
Chapter 1 The Nature of Probability and Statistics
1.1 Introduction
1.2 Descriptive and Inferential Statistics
1.3 Variables and Types of Data
1.4 Data Collection and Sampling Techniques
1.5 Observation and Experimental Studies
1.6 Use and Misuses of Statistics
1.7 Computers and Calculators
Chapter 2 Frequency Distributions and Graphs
2.1 Introduction
2.2 Organizing Data
2.3 Histograms, Frequency Polygons, and Ogives
2.4 Other Types of Graphs
Chapter 3 Data Description
3.1 Introduction
3.2 Measure of Central Tendency
3.3 Measure of Variation
3.4 Measure of Position
3.5 Exploration Data Analysis
Chapter 4 Probability and Counting Rules
4.1 The Nature of Probability
4.2 Sample Spaces and Probability
4.3 The Addition Rules of Probability
4.4 The Multiplication Rules of Probability
4.5 Counting Rules
4.6 Probability and Counting Rules
CHAPTER 5 Discrete Probability Distributions
5.1 Introduction
5.2 Probability Distributions
5.3 Mean, Variance and Expectation
5.4 The Binomial Probability Distribution
5.5 The Poison Distribution
Chapter 6 The Normal Distribution
6.1 Introduction
6.2 Properties of the Normal Distributions
6.3 The Standard Normal Distributions
6.4 Applications of Normal Distribution
6.5 The Central Limit Theorem
6.6 The Normal Approximation on the Binomial Distribution
Chapter 7 Confidence Intervals and Sample Size
7.1 Introduction
7.2 Confidence Intervals for the Mean (
7.3 Confidence Intervals for the Mean (


known, or n  30 )
unknown, or n  30 )
Chapter 8 Hypothesis Testing
8.1 Introduction
8.2 Steps in Hypothesis Testing – Traditional Method
8.3 Z-test for a Mean
8.4 T-test for a Mean
Chapter 9 Testing the Difference between Two Means
9.1 Introduction
9.2 Testing the Difference between Two Means: Large Samples
9.4 Testing Difference between Two Means: Small Independent
Samples
9.5 Testing Difference between Two Means: Small Dependent
Samples
Chapter 10 Correlation and Regression
10.1 Introduction
10.2 Scatter Plots
10.3 Correlation
10.4 Regression
10.5 Coefficient of Determination and Standard Error of the
Estimate
Chapter 14 Sampling and Simulation
Stat 202 – Project
Students will work their own. The instructor will direct students; however
students are expected to collect data and analyze data using appropriate statistical
techniques and interpret the results. Each student will be required to make a
presentation at the end of the semester. Areas of further studies should be
incorporated in the report. The double-spaced typewritten paper, not exceeding
ten pages should include:
Title Page
Abstract
Chapter I
Chapter II
Chapter III
Chapter IV
Chapter V
References
Introduction + Statement of the problem
Literature Review
Methodology or Procedure
Data Analysis, Results
Summary, Conclusions
Important Days to Remember
March 11: Last day to withdraw from class
March 23: Last day for WN submissions
April 6: Last day for WN appeals
April 15: Last day to Withdraw from the University
April 25: Last day of Classes
April 27 – May 3 – Final Examinations