ROCHESTER INSTITUTE OF TECHNOLOGY COURSE OUTLINE FORM COLLEGE OF SCIENCE. School of Mathematical Sciences

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1 ! ROCHESTER INSTITUTE OF TECHNOLOGY COURSE OUTLINE FORM COLLEGE OF SCIENCE School of Mathematical Sciences New Revised COURSE: COS-STAT-146 Introduction to Statistics II 1.0 Course designations and approvals: Required Course Approvals: Approval Approval Request Date Grant Date Academic Unit Curriculum Committee College Curriculum Committee Optional Course Designations: Yes No General Education Writing Intensive Honors Approval Request Date Approval Grant Date 2.0 Course information: Course Title: Introduction to Statistics II Credit Hours: 4 Prerequisite(s): COS-STAT-145 Co-requisite(s): None Course proposed by: School of Mathematical Sciences Effective date: Fall 2013 Contact Hours Maximum Students/section Classroom 4 33 Lab Workshop Other (specify) 2.1 Course conversion designation: (Please check which applies to this course) Semester Equivalent (SE) to: Semester Replacement (SR) to: New 2.2 Semester(s) offered: Fall Spring Summer Offered every other year only Other Page 1 of 5

2 2.3 Student requirements: Students required to take this course: (by program and year, as appropriate) First-year Accounting, Finance, Psychology, Management Information Systems, Business, Accounting, and Business majors Students who might elect to take the course: School of Hospitality and Service Management majors or students desiring to continue their training in the basic statistical principles of presenting and interpreting data 3.0 Goals of the course: (including rationale for the course, when appropriate) 3.1 To provide access to more advanced ideas and methods in statistics. 3.2 To provide hands-on experience of computers and their peripheral devices as tools for data analysis. 4.0 Course description: (as it will appear in the RIT Catalog, including pre- and co-requisites, semesters offered) COS-STAT-146 Introduction to Statistics II This course is an elementary introduction to the topics of regression and analysis of variance. The statistical software package Minitab will be used to reinforce these techniques. The focus of this course is on business applications. This is a general introductory statistics course and is intended for a broad range of programs. (COS-STAT-145) Class 4, Credit 4 (F, S, Su) 5.0 Possible resources: (texts, references, computer packages, etc.) 5.1 Moore and McCabe, Intoduction to the Practice of Statistics, Freeman, New York, NY. 5.2 Peck, Olsen and Devore, Introduction to Statistics and Data Analysis, Brooks/Cole, Pacific Grove, CA. 5.3 Michael Sullivan, Statistics, Informed Decisions Using Data, Pearson, Upper Saddle River, NJ. 5.4 Minitab software 6.0 Topics: (outline) Topics with an asterisk(*) are at the instructor s discretion, as time permits 6.1 Student Computer Applications Confidence intervals and hypothesis testing Single-factor and two-factor ANOVA (analysis of variance) Single and multiple regression 6.2 Two-Sample Inference for Means Paired versus independent groups Large and small sample inference 6.3 Inference for Counts Single proportion Two proportions Page 2 of 5

3 6.3.3 Chi-square test for two-way tables 6.4 Analysis of Variance One-way ANOVA Blocking Two-way ANOVA 6.5 Regression Analysis Simple linear regression model Correlation Multiple regression model 6.6 Additional topics* Time series and forecasting Survey design and analysis 7.0 Intended learning outcomes and associated assessment methods of those outcomes: Assessment Methods Learning Outcomes 7.1 Demonstrate a working knowledge of definitions, concepts, rules, vocabulary, and notation of statistics 7.2 Perform basic statistical calculations 7.3 Describe data sets with statistical measures and displays 7.4 Perform simple hypothesis tests and state conclusions 8.0 Program goals supported by this course: 8.1 To develop an understanding of the statistical framework that supports engineering, science, and mathematics. 8.2 To develop critical and analytical thinking. 8.3 To develop an appropriate level of statistical literacy and competency. Page 3 of 5

4 9.0 General education learning outcomes and/or goals supported by this course: Assessment Methods General Education Learning Outcomes 9.1 Communication Express themselves effectively in common college-level written forms using standard American English Revise and improve written and visual content Express themselves effectively in presentations, either in spoken standard American English or sign language (American Sign Language or English-based Signing) Comprehend information accessed through reading and discussion 9.2 Intellectual Inquiry Review, assess, and draw conclusions about hypotheses and theories Analyze arguments, in relation to their premises, assumptions, contexts, and conclusions Construct logical and reasonable arguments that include anticipation of counterarguments Use relevant evidence gathered through accepted scholarly methods and properly acknowledge sources of information 9.3 Ethical, Social and Global Awareness Analyze similarities and differences in human experiences and consequent perspectives Examine connections among the world s populations Identify contemporary ethical questions and relevant stakeholder positions 9.4 Scientific, Mathematical and Technological Literacy Explain basic principles and concepts of one of the natural sciences Apply methods of scientific inquiry and problem solving to contemporary issues Comprehend and evaluate mathematical and statistical information Perform college-level mathematical operations on quantitative data Describe the potential and the limitations of technology Use appropriate technology to achieve desired outcomes Page 4 of 5

5 Assessment Methods General Education Learning Outcomes 9.5 Creativity, Innovation and Artistic Literacy Demonstrate creative/innovative approaches to coursebased assignments or projects Interpret and evaluate artistic expression considering the cultural context in which it was created 10.0 Other relevant information: (such as special classroom, studio, or lab needs, special scheduling, media requirements, etc.) 10.1 Smart classroom 10.2 Computer lab with sufficient availability of Minitab software 10.3 Classes may be held in a statistical computing laboratory Page 5 of 5