STAT 200: Introduction to Statistics (GE)
Prerequisites: Any MATH class, or a passing score on a placement test approved by
the Department of Mathematics and Statistics
Credit hours (3)
Introduction to statistical methods; descriptive statistics, normal distribution,
estimation, hypothesis testing, correlation and regression.
Note(s): General Education and Scientific and Quantitative Reasoning designated course. Students
who have received credit for STAT 219 or any 300 or 400 level STAT course, may not
receive credit for STAT 200.
Detailed Description of Course
The following topics in probability and statistics will be covered:
1.Data collection and graphical methods of displaying data, including box and whisker plots
2.Descriptive statistics and data analysis
a.Measures of center: mean, median, mode, weighted mean
b.Measures of variability: range, standard deviation, variance, interquartile range, Z-scores
3.Basic Probability
a.Theoretical and experimental probability
b.Permutations, combinations, and Fundamental Counting Principle
4.Probability distribution functions
a.Discrete distribution functions: general and the binomial distribution
b.Continuous distribution functions: normal distribution and Student-t distribution
5.Point and interval estimation of the mean
6.Hypothesis tests on the mean
7. Linear correlation and simple linear regression used for data analysis and prediction
Detailed Description of Conduct of Course
Most instructors will use the lecture method. Some may require students to work together
in small groups. In all sections, students will be asked to work problems assigned
as homework. Instructors may require a specific type of c7.Linear correlation and simple linear regression used for data analysis and predictionalculator or software be used.
Goals and Objectives of the Course
To develop the skills and techniques for students to be able to analyze data using
standard statistical methods.
Students will be able to use the tools of mathematics and quantitative reasoning to
conceptualize and solve problems.
Students will be able to:
1) interpret relationships among numeric, symbolic, and graphical information
as applied to the real world
2) solve problems using numeric, symbolic, and graphical information
Assessment Measures
Graded tasks may include tests, quizzes, homework exercises, computer assignments,
projects, class participation and attendance.
Other Course Information
None
Review and Approval
November 7, 2017
September 2011
June 15, 2015
March 01, 2021