8 courses with the subject MATH, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
MATH 0595Essentials of Introduction to Statistics2
Arts & Sciences This is a co-requisite course designed to help students successfully complete Introduction to Statistics by emphasizing key concepts in the application of mathematics to conduct data exploration. Graphing calculators are used to facilitate the coverage of topics and enrich students’ understanding. The course includes intensive practice in fractions, proportions, percentages, rounding decimals, inequalities, linear equations and graphing, measurements, and order of operations. This course should only be taken with Introduction to Statistics. A passing grade is required to receive credit for Introduction to Statistics. credit(s): 2
MATH 1295Introduction to Statistics with Essentials3
Arts & Sciences This course provides an introduction to statistical analysis with an emphasis on business applications. It develops conceptual understanding of descriptive and inferential statistics through a hands-on approach while exploring different business scenarios. Spreadsheet software and graphing calculators are used to facilitate the coverage of topics and enrich students’ understanding. Topics covered include descriptive statistics (measures of central tendency, variability, and position) and inferential statistics (probability, discrete and continuous distributions, correlation and regression analysis, and confidence intervals). credit(s): 3
Arts & Sciences This course provides an introduction to statistical analysis with an emphasis on business applications. It develops conceptual understanding of descriptive and inferential statistics through a hands-on approach while exploring different business scenarios. Spreadsheet software and graphing calculators are used to facilitate the coverage of topics and enrich students’ understanding. Topics covered include descriptive statistics (measures of central tendency, variability, and position) and inferential statistics (probability, discrete and continuous distributions, correlation and regression analysis, and confidence intervals). credit(s): 3
Arts & Sciences This course provides an introduction to statistical analysis with an emphasis on business applications. It develops conceptual understanding of descriptive and inferential statistics through a hands-on approach while exploring different business scenarios. Spreadsheet software and graphing calculators are used to facilitate the coverage of topics and enrich students’ understanding. Topics covered include descriptive statistics (measures of central tendency, variability, and position) and inferential statistics (probability, discrete and continuous distributions, correlation and regression analysis, confidence intervals, and hypothesis testing). Honors students are additionally required to complete a semester-long project that includes developing and conducting a survey, and analyzing, reporting, and presenting results. credit(s): 3
MATH 0595, TECH 1310 and enrollment in the Fashion Scholars Program, or by permission of the Department Chair
MATH 2760Applied Data Analysis3
Arts & Sciences In this course, students will develop a deeper understanding of statistics. A statistical package will be integrated to enable students to analyze large data sets. Emphasis is given to interpreting, reporting, and presenting findings. Topics covered include hypothesis testing of population parameters, linear regression, as well as experimental design and analysis of variance. In addition, non-parametric tests will be explored. Students will be exposed to various business scenarios for which data analysis is critical for decision making. credit(s): 3
Arts & Sciences In this course, students will develop a deeper understanding of statistics. A statistical package will be integrated to enable students to analyze large data sets. Emphasis is given to interpreting, reporting, and presenting findings. Topics covered include hypothesis testing of population parameters, linear regression, as well as experimental design and analysis of variance. In addition, non-parametric tests will be explored. Students will be exposed to various business scenarios for which data analysis is critical for decision making. Honors students utilize a statistical software package to increase their fluency in conducting statistical analysis and enhance their ability to identify relevant outputs for reporting. credit(s): 3
COMM 2010, MATH 1300, TECH 1310 and enrollment in the Fashion Scholars Program, or by permission of the Department Chair
MATH 2761Applied Data Analysis for the Business of Fashion3
Arts & Sciences In this course, students will develop a deeper understanding of statistics. A statistical software package will be integrated to enable students to analyze large data sets. Emphasis is given to interpreting, reporting, and presenting findings. Topics covered include hypothesis testing of population parameters, correlation analysis, as well as analysis of variance. In addition, non- parametric tests will be explored. Students will be exposed to various business scenarios for which data analysis is critical for decision making. credit(s): 3
Arts & Sciences This course is for students seeking to learn more about how data drives decisions in marketing. Real-world marketing scenarios will be addressed through appropriate statistical methods. Specifically, this course teaches students to use data for planning and forecasting, market segmentation, market research, and measuring the effectiveness of advertising. The course draws on students’ existing knowledge of statistics to cover various modelling techniques such as simple and multiple linear regression. credit(s): 3
