Students will be able to solve problems using various methods of analyzing data, statistical concepts and models, estimation, tests of significance, introduction to analysis of variance, linear regression, and correlation.
TCCNS: [MATH1342, 1442, 2342, 2442] Prerequisite: A score of at least 500 on the SATM and composite score of 1070 or a score of at least 19 on the ACTM and composite score of 23 or a grade of C or better in MATH 0302 or a grade of C or better in TSI 0302. Methods of analyzing data, statistical concepts and models, estimation, tests of significance, introduction to analysis of variance, linear regression, and correlation. Partially fulfills core Mathematics requirement.
SCH: 3 Hours
Students will be required to purchase the following textbooks and/or courseware. More details are available in the course syllabus:
Cengage Introduction to Statistics and Data Analysis, by Peck, Olsen, and Short. ISBN: 978-1337794251
WebAssign for homework assignments
The Texas Tech University Self-Paced Courses Program does not guarantee credit hour transfers, and the student is responsible for determining whether a specific course transfer will be accepted at their current campus.
For more information please visit our Self-Paced Program page or contact us at selfpaced.courses@ttu.edu. If you are ready to get started, please submit an application.
REFUND POLICY: As access to the coursework is available immediately upon enrollment, any requests to drop after enrollment has occurred will be refunded at a reduced rate, reflecting a $150 administrative fee, through the first seven (7) calendar days of coursework access, so long as the course has not been completed within that seven-day period. Refunds are not eligible for any courses that have been completed. Any requests to drop a course on or following the eighth (8th) calendar day of coursework access will not be refunded.
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