Introductory statistics course

• [DOC File]Math 1127, Introductory Statistics (CRN 80850)

  https://info.5y1.org/introductory-statistics-course_1_c9526e.html

  Course (Catalog) Description: Introductory Statistics: 3 credit hours Catalog: Introduction to statistical analysis. Concepts covered: The course covers basic descriptive statistics, elementary probability: rules and distributions, estimation and hypothesis testing, causal relationship, basic categorical analysis and one-way analysis of variance.

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• [DOC File]Introductory Statistics

  https://info.5y1.org/introductory-statistics-course_1_6572d3.html

  Course Outcome Summary. Information. Course Number. 10-804-189 Credits. 3 Contact Hours. 0 Development Date. 02/23/2004 Types of Instruction. Type of Instruction. Contact Hours. Credits. Classroom Presentation/On line 0 3 Totals 0 3 ... Introductory Statistics ...

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• [DOC File]Introductory Statistics

  https://info.5y1.org/introductory-statistics-course_1_12c88f.html

  In addition, the course website on MyStatLab and Blackboard must be checked at least once a week for important announcements. REQUIRED TEXT. Statistics – the art and science of learning from data, 2e, by Alan Agresti, Christine Franklin, Pearson Prentice Hall,2007 MyStatLab Any scientific calculator with basic statistical functions.

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• [DOC File]TA 2023 - Introductory Statistics

  https://info.5y1.org/introductory-statistics-course_1_6277e3.html

  STA 2023 Introductory Statistics (3) F, Sp, Sm. Prerequisite: Grade of “C” or better in MAT 1033 or appropriate placement score. This course demonstrates how to apply selected statistical techniques to a wide variety of problems and situations arising in the areas of business, economics, finance, management, social science, health ...

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• [DOCX File]MSCC Syllabus Template

  https://info.5y1.org/introductory-statistics-course_1_6f7c6f.html

  This course is an introduction to probability and statistics without calculus. Topics covered include sampling, frequency distribution, elementary probability, hypothesis testing, linear regression and correlation, analysis of variance and non-parametric statistics.

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