Sharon Allen
Outreach Counselor
Academic Resource Center
Contact
508-910-6866
508-910-6406
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Liberal Arts 010
Teaching
Courses
An introduction to statistics and probability. Topics include: measures of central tendency and dispersion, elementary probability, binomial, normal, and t-distributions, hypothesis testing and confidence intervals, and a survey of correlation and regression analysis. It is recommended for Psychology, Sociology, Nursing, or other Liberal Arts and Fine Arts majors whose degree program does not require any other courses in mathematics. The course fulfills the general education requirements for sociology, psychology, nursing, education, and other related majors who matriculated prior to Fall 2012 and has been approved by University Studies Curriculum for students matriculating in Fall 2012 or later.
An introduction to statistics and probability. Topics include: measures of central tendency and dispersion, elementary probability, binomial, normal, and t-distributions, hypothesis testing and confidence intervals, and a survey of correlation and regression analysis. It is recommended for Psychology, Sociology, Nursing, or other Liberal Arts and Fine Arts majors whose degree program does not require any other courses in mathematics. The course fulfills the general education requirements for sociology, psychology, nursing, education, and other related majors who matriculated prior to Fall 2012 and has been approved by University Studies Curriculum for students matriculating in Fall 2012 or later.
Examines both descriptive and inferential statistics as applied to business. Topics include graphical and tabular methods of data presentation, probability theory and distributions, hypothesis testing, analysis of variance, regression and forecasting. Emphasis is placed on concepts, applications, and the proper use of statistics to collect, analyze, and interpret data. Throughout this course students will use computer software to perform statistical analyses. Students will learn how to make decisions using facts and the techniques of data analysis. Students will also use the internet to supplement classroom learning.
Examines both descriptive and inferential statistics as applied to business. Topics include graphical and tabular methods of data presentation, probability theory and distributions, hypothesis testing, analysis of variance, regression and forecasting. Emphasis is placed on concepts, applications, and the proper use of statistics to collect, analyze, and interpret data. Throughout this course students will use computer software to perform statistical analyses. Students will learn how to make decisions using facts and the techniques of data analysis. Students will also use the internet to supplement classroom learning.