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# MATH 115 - Introduction to Statistical Methods

Number of Credits: 4
Introduction to Statistical Methods is an introductory college level statistics course that provides a basic understanding of data analysis. Topics covered include measures of central tendency and variation, probability, discrete and continuous distributions, estimation and testing of population parameters, and linear correlation and regression. Statistical literacy will be emphasized throughout the course. Students in the areas of education, nursing, business, and the arts and sciences will find that this course enhances and clarifies use and application of statistics in their specializations. Credit by exam available; Advanced Placement Exam (Statistics) accepted.  (Fall, Spring & Summer Only) Four hours lecture each week. Four Credits. Four billable hours.

GENERAL EDUCATION Category: Mathematics

Pre-requisite(s): eligibility for ENGL 101  and a satisfactory placement exam score or MAT 095  with a minimum grade of C or better or any college level MATH course.
Course Objectives: Upon successful completion of this course, students will be able to:
1. Use appropriate symbols, notation, and vocabulary to accurately communicate statistical concepts. (GE1)
2. Analyze data using descriptive statistics including weighted averages, measures of central tendency and variation of grouped data, determination of distribution type, and identification of potential outliers. (GE2, GE5)
3. Correctly assign probabilities using appropriate rules and distributions including discrete, binomial, and normal. (GE2, GE3)
4. Use linear regression to establish a relationship between two variables, assess the relationship strength between variables, and test for significance. (GE2, GE3)
5. Recognize, apply, and interpret the central limit theorem for sample means in order to make predictions and assign probabilities. (GE1, GE2, GE3)
6. Construct and interpret confidence intervals based on sample data to estimate population parameters. (GE1, GE2, GE3)
7. Perform hypothesis tests to make inferences about population parameters based on sample data. (GE1, GE2, GE3)
8. Utilize technology to accurately solve statistical problems. (GE5)

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