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Carol Kenyon

Name

[Kenyon, Carol]
  • Lecturer

Courses

      • MATH 1308-530 ELEMENTARY STATISTICAL ANALYSIS

        The collection, analysis, presentation, and interpretation of data.  The analysis will include descriptive statistics, probability, relationships between variables and graphs, elementary statistics models, hypothesis testing, inference, estimation, correlation, regression, and confidence intervals. This is material that will provide a modern approach to statistics and will be useful to you in your career path as well as teach you critical thinking and processing skills. Our purpose is to help make you successful in all degree fields!

      • MATH 1301-510 CONTEMPORARY MATHEMATICS

        Over the course of the semester, you will study traditional algebra topics together with real-world applications of mathematics; problem-solving techniques; dimensional analysis and mathematical logic; as well as population growth, optimization, voting theory, number theory, graph theory, relations, functions, probability, statistics, and finance. This is material that will provide a firm foundation for a variety of future courses as well as teach you critical thinking and processing skills. Our purpose is to help make you successful in all degree fields!

      • MATH 1301-510 CONTEMPORARY MATHEMATICS

        Over the course of the semester, you will study traditional algebra topics together with real-world applications of mathematics; problem-solving techniques; dimensional analysis and mathematical logic; as well as population growth, optimization, voting theory, number theory, graph theory, relations, functions, probability, statistics, and finance. This is material that will provide a firm foundation for a variety of future courses as well as teach you critical thinking and processing skills. Our purpose is to help make you successful in all degree fields!

      • MATH 1308-512 ELEMENTARY STATISTICAL ANALYSIS

        The collection, analysis, presentation, and interpretation of data.  The analysis will include descriptive statistics, probability, relationships between variables and graphs, elementary statistics models, hypothesis testing, inference, estimation, correlation, regression, and confidence intervals. This is material that will provide a modern approach to statistics and will be useful to you in your career path as well as teach you critical thinking and processing skills. Our purpose is to help make you successful in all degree fields!

      • MATH 1302-502 COLLEGE ALGEBRA

        This course is designed as preparation for higher level mathematics courses. Topics include the study of linear, quadratic, polynomial, rational, radical absolute value, logarithmic, and exponential functions, relations and inequalities; graphs, basic characteristics, and operations on functions; real and complex zeros of functions; graphing techniques; systems of equations and matrices. The use of mathematical software and calculators is required.

      • MATH 1301-510 CONTEMPORARY MATHEMATICS

        Over the course of the semester, you will study traditional algebra topics together with real-world applications of mathematics; problem-solving techniques; dimensional analysis and mathematical logic; as well as population growth, optimization, voting theory, number theory, graph theory, relations, functions, probability, statistics, and finance. This is material that will provide a firm foundation for a variety of future courses as well as teach you critical thinking and processing skills. Our purpose is to help make you successful in all degree fields!

      • MATH 311-500 Foundations for Contemporary Mathematics

        This course is designed for students whose placement scores or life experience indicate that they may need additional preparation in order to take a college credit-bearing mathematics course.  This course provides foundational preparation for MATH 1301. Topics include basic numeric and algebraic operations, expressions, linear and quadratic equations, solving techniques, graphing, mathematical logic and reasoning, as well as a brief introduction to probability and statistics. Students will use mathematical software to master targeted areas and progress through a modified self-paced environment in order to achieve college readiness. Immediately following the successful completion of this foundational course, students should register for a credit-bearing mathematics course according to their degree plan, specifically MATH 1301.  Credit in this course does not fulfill any degree requirements.

      • MATH 1308-511 ELEMENTARY STATISTICAL ANALYSIS

        Course Description:  The collection, analysis, presentation, and interpretation of data.  The analysis will include descriptive statistics, probability, relationships between variables and graphs, elementary statistics models, hypothesis testing, inference, estimation, correlation, regression, and confidence intervals. This is material that will provide a modern approach to statistics and will be useful to you in your career path as well as teach you critical thinking and processing skills. Our purpose is to help make you successful in all degree fields!

      • MATH 1308-500 ELEMENTARY STATISTICAL ANALYSIS

        The collection, analysis, presentation, and interpretation of data.  The analysis will include descriptive statistics, probability, relationships between variables and graphs, elementary statistics models, hypothesis testing, inference, estimation, correlation, regression, and confidence intervals. This is material that will provide a modern approach to statistics and will be useful to you in your career path as well as teach you critical thinking and processing skills. Our purpose is to help make you successful in all degree fields!

      • MATH 1308-501 ELEMENTARY STATISTICAL ANALYSIS

        The collection, analysis, presentation, and interpretation of data.  The analysis will include descriptive statistics, probability, relationships between variables and graphs, elementary statistics models, hypothesis testing, inference, estimation, correlation, regression, and confidence intervals. This is material that will provide a modern approach to statistics and will be useful to you in your career path as well as teach you critical thinking and processing skills. Our purpose is to help make you successful in all degree fields!

        Fall - Regular Academic Session - 2016 Download Syllabus Contact info & Office Hours1 Document
      • MATH 1308-500 ELEMENTARY STATISTICAL ANALYSIS

         The collection, analysis, presentation, and interpretation of data.  The analysis will include descriptive statistics, probability, relationships between variables and graphs, elementary statistics models, hypothesis testing, inference, estimation, correlation, regression, and confidence intervals. This is material that will provide a modern approach to statistics and will be useful to you in your career path as well as teach you critical thinking and processing skills. Our purpose is to help make you successful in all degree fields!

      • MATH 1308-502 ELEMENTARY STATISTICAL ANALYSIS

         The collection, analysis, presentation, and interpretation of data.  The analysis will include descriptive statistics, probability, relationships between variables and graphs, elementary statistics models, hypothesis testing, inference, estimation, correlation, regression, and confidence intervals. This is material that will provide a modern approach to statistics and will be useful to you in your career path as well as teach you critical thinking and processing skills. Our purpose is to help make you successful in all degree fields!

      • MATH 1308-500 ELEMENTARY STATISTICAL ANALYSIS

        Course Description:  The collection, analysis, presentation, and interpretation of data.  The analysis will include descriptive statistics, probability, relationships between variables and graphs, elementary statistics models, hypothesis testing, inference, estimation, correlation, regression, and confidence intervals. This is material that will provide a modern approach to statistics and will be useful to you in your career path as well as teach you critical thinking and processing skills. Our purpose is to help make you successful in all degree fields!

      • MATH 1308-500 ELEMENTARY STATISTICAL ANALYSIS

        The collection, analysis, presentation, and interpretation of data.  The analysis will include descriptive statistics, probability, relationships between variables and graphs, elementary statistics models, hypothesis testing, inference, estimation, correlation, regression, and confidence intervals. This is material that will provide a modern approach to statistics and will be useful to you in your career path as well as teach you critical thinking and processing skills. Our purpose is to help make you successful in all degree fields!

      • MATH 1308-500 ELEMENTARY STATISTICAL ANALYSIS

        Use statistical vocabulary and explain the use of data collection and statistics as tools to reach reasonable conclusions.

        Recognize, examine, and interpret the basic principles of describing and presenting data, using tools such as frequency distributions and various graphs.

        Compute, compare, and interpret summary data descriptions.

        Compute and interpret empirical and theoretical probabilities using counting techniques and probability theory.

        Explain the role of probability in statistics for both discrete and continuous random variables.

        Examine, analyze, and compare various sampling distributions for both discrete and continuous random variables, including the normal distribution.

        Describe and compute confidence intervals.

        Perform hypothesis testing using statistical methods and interpret the results.

        Solve linear correlation and regression problems.

      • MATH 1308-501 ELEMENTARY STATISTICAL ANALYSIS

        Use statistical vocabulary and explain the use of data collection and statistics as tools to reach reasonable conclusions.

        Recognize, examine, and interpret the basic principles of describing and presenting data, using tools such as frequency distributions and various graphs.

        Compute, compare, and interpret summary data descriptions.

        Compute and interpret empirical and theoretical probabilities using counting techniques and probability theory.

        Explain the role of probability in statistics for both discrete and continuous random variables.

        Examine, analyze, and compare various sampling distributions for both discrete and continuous random variables, including the normal distribution.

        Describe and compute confidence intervals.

        Perform hypothesis testing using statistical methods and interpret the results.

        Solve linear correlation and regression problems.

        Spring - Regular Academic Session - 2015 Download Syllabus Contact info & Office Hours