Post Secondary Teaching and Learning - PSTL

Description:  This course is an introduction to statistics that emphasizes problem solving and decision making through the collection, analysis, and interpretation of data. Course topics include the organization and presentation of data, summary statistics, sampling methodology, sampling distributions, probability, estimation, correlation, hypothesis testing, contingency tables, and chi-square analysis. The instructional approach includes the use of small active learning groups, computer statistics software, computer simulations, in-depth projects, writing assignments, demonstrations, and lots of discussion and problem solving based on practical examples. Students learn how to analyze and interpret quantitative information, to use statistical thinking, and to communicate using the language of statistics. Students will develop a level of statistical literacy that enables them to critically assess information encountered in the media and other sources. This course will be of particular interest to undergraduate non-majors who want to fulfill the CLE requirement in Mathematical Thinking.

Class Time: 40% Lecture, 9% Discussion, 50% Small Group Activities, 1% Student Presentation.

Work Load: 20-50 pages reading per week, 15-30 pages writing per term, 4 exams, 2 papers, 1 presentations, 25 homework assignments.

Grade: 25% reports/papers, 55% additional semester exams, 20% problem solving. The 20% of the course grade for problem solving involves course work done in the classroom - most assignments will be found in the course packet.

Exam Format: Exams are a combination of short answer questions, calculations and graphing, and multiple choice questions.

Instructor:  Stottlemyer PhD,Janet | Instructor Photo | Syllabus

Description:  We will explore statistics in four ways: 1) exploring the use of statistics and statistical techniques including the organization and presentation of data, summary statistics, sampling, sampling distributions, probability, estimation, correlation, hypothesis testing, contingency tables, and chi-square analysis; 2) analyzing statistical reasoning associated with democracy and citizenship in the United States; 3) demonstrating the use of statistics when considering how race, class, gender, disability, religion, immigration, and sexual orientation in the U.S. can "position" people for democratic citizenship or disengagement; and 4) communicating and problem solving in words and mathematical presentations statistical principles, concepts, and their application through the collection, analysis, and interpretation of data. This class will primarily use small group discussion and activities to explore and practice the principles of statistics. Statistical software will be used weekly for in-class and out-of-class activities. There will be weekly reading, writing, and mathematical assignments to prepare for class discussions and activities. In class activities will culminate in an in-depth small group project. As appropriate course material and supplemental materials will be posted in Web Vista. Upon successful completion of this course you should have improved skills in critical thinking and in constructing, analyzing, and interpreting statistical presentations of data and phenomena. Students will develop a level of statistical literacy that enables them to critically assess information encountered in the media and other sources. This course will be of particular interest to undergraduates who want to fulfill the CLE requirement in Mathematical Thinking.

Class Time: 25% Lecture, 20% Discussion, 45% Small Group Activities, 10% Student Presentation.

Work Load: 20-50 pages reading per week, 15-30 pages writing per term, 4 exams, 3 papers, 3 presentations, 15 homework assignments, 15 problem sets, 15 quizzes. All presentations will be small group (3-5person) presentations.

Grade: 30% mid exam, 20% reports/papers, 10% quizzes, 10% written homework, 10% journal, 10% reflection paper, 10% in-class presentation. Application of knowledge and problem solving are a part of the assignments, exams, papers, and presentations.

Exam Format: Exams are a combination of short answer questions, problem solving, calculations, graphing and may include some multiple choice.

Instructor:  Duranczyk,Irene M