# Mathematics, Statistics &amp; Computer Science Department COURSE NO./TITLE: STAT-130 (354-130) Elementary Statistics

advertisement ```Mathematics, Statistics &amp; Computer Science Department
COURSE NO./TITLE:
CREDITS:
STAT-130 (354-130) Elementary Statistics
2
COURSE DESCRIPTION: Concepts and application of probability and statistics: data analysis
(graphical displays, numerical summary measures); probability and probability distributions;
concepts of statistical inference (estimation and hypothesis testing). Illustrated with output from
statistical computing packages. (One year of high school algebra is desirable.)
TEXTBOOK: Basic Practice of Statistics, 4th Ed., by Moore (adopted F07)
(Adopted 8/04: Basic Practice of Statistics, 3rd Ed., by Moore)
(Fall 99: 2nd Ed. of Basic Practice of Statistics by Moore)
(Fall 95: Basic Practice of Statistics, 1st Ed., by Moore)
(Prior to Fall 95: Introductory Statistics, 1st Ed., by Devore &amp; Peck)
COURSE OBJECTIVES: This course will enable the students to:
1.
Develop an understanding of the basic concepts of probability.
2.
Develop an understanding of and skill in the use of descriptive statistical methods, both
numerical and graphical, to organize, and summarize data.
3.
Develop an understanding of the basic concepts of statistical inference; estimation and
hypothesis testing.
4.
Gain some experience in reading and interpreting the statistical analysis contained in the
output of a statistical computing package.
5.
Enhance their skills in problem solving and the writing of clear, complete, logically
correct solutions.
COURSE OUTLINE:
1.
Introduction to Statistics
2.
The Methods of Descriptive Statistics; Exploratory Data Analysis
Frequency Distributions and Histogram
Stem-and-Leaf Displays
Box Plots
Numerical Summary measures
3.
Probability and Probability Distributions
Sample Space, Events and the Algebra of Sets
Definitions and Rules of Probability
Conditional Probability; Independence.
Random Variables and Probability Distributions
4.
Sampling Distributions
Populations and Random Samples; Parameters &amp; Statistics
Sampling Distributions
Sampling Distribution of the Sample Mean: Central Limit
Theorem
5.
Statistical Inference
Basic Concepts of Estimation and Hypothesis Testing
Large Sample Inference About a Population Mean
Small Sample Inference About a Population Mean: t-Distribution
Revised 6/08
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