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MATH 216 gives students a working knowledge and understanding of descriptive and inferential statistics and how statistics is applied in the sciences, social sciences, and business. An important feature of Math 216 is its computer component, which teaches you how to use an industry standard statistical software application to apply the tools of statistics to make practical decisions, prepare reports in the workplace, and effectively complete papers and research projects, in other university courses. We cannot underestimate the value of a course which encourages you to use computer software to apply the methods of statistics, in a society which is increasingly dependent on electronic sources of information such as intranet databases, external databases, the Internet, electronic instruments, and point of sales electronic terminals. Math 216 is a multi-media course that is designed to appeal to a wide range of students with diverse learning styles. Outline Unit 1: Descriptive Statistics Unit 2: Probability Unit 3: Probability Distributions Unit 4: Inference on One Sample Unit 5: Inference on Two Samples Unit 6: Bivariate Analysis Upon successful completion of this course, you should be able to apply the basic principles of statistical analysis using statistical software. employ the tools of descriptive statistics to organize, summarize and present information in a meaningful way. predict the likelihood of real world events, based on rules of probability and common probability distributions. estimate and test hypotheses regarding characteristics of both single and multiple populations. identify patterns of relationships between qualitative variables. employ linear correlation and regression methods to analyze relationships between quantitative variables. responsibly use statistical methods by testing the underlying assumptions. To receive credit for MATH 216, you must achieve a mark of at least 50 percent on both the theory and the computer components of the Midterm and Final examinations. In other words: MIDTERM EXAMINATION: theory component: more than 50% computer component: more than 50% FINAL EXAMINATION: the theory component: more than 50% the computer component: more than 50% Note: You are expected to use a standard scientific calculator in each exam. Programmable calculators, graphing calculators (such as the TI83 etc.) computers or any other mobile electronic device may not be brought into the exam room. Your composite course grade must also be at least D (50 percent) in order to pass this course. Students who do not achieve a minimum passing grade of 50 percent on any examination theory or computer component will be allowed to write one supplemental for each examination component. Activity Weight Assignment 1 5% Assignment 2 5% Assignment 3 5% Midterm Theory component 28% Midterm Computer component 7% Assignment 4 5% Assignment 5 5% Assignment 6 5% Final Exam Theory component 28% Final Exam Computer component 7% Total 100% To learn more about assignments and examinations, please refer to Athabasca Universitys online Calendar. Larson, R., & Farber, B. (2019). Elementary statistics: Picturing the world (7th ed.). New York: Pearson. (eText) Math 216: Computer-oriented Approach to Statistics. Course Orientation. Athabasca, AB: Athabasca University, 2020. (Online) Math 216: Computer-oriented Approach to Statistics. Study Guide. Athabasca, AB: Athabasca University, 2020. (Online) Math 216: Computer Labs (Technology Manual). Athabasca, AB: Athabasca University, 2020. (Online) Registration in this course includes an electronic textbook. For more information on electronic textbooks, please refer to our eText Initiative site. Online Resources at Pearson MyLab Website Students Solutions Manual StatCrunch statistical software (also available at statcrunch.com) MyLab Study Plan (Optional) Multimedia Resources (Optional) Important links Academic advising Program planning Request assistance Support services There are 5 lab projects that are part of the coursework in Math 216. You will work on these in the Instructional Computing Labs in the basement of East Hall, every week through the semester. Please note: The labs in use this semester were developed in summer 2016, and have been revised every semester since. They are aligned with the course material, structured to help you learn it, and reflect research on how you will learn effectively. This spring they are being further modified to use the MWrite system! This allows us to take advantage of research on how we learn by stopping to write about the course material we are studying. More details of this system will be given in class. Before you arrive in lab, you must have submitted the corresponding prelab assignment in Canvas. (lab 0 does not have a prelab). During the lab period you will have an opportunity to use the computer system to work on the in the lab part of the assignment. One other note: we have a Matlab command file also available. This is a Matlab file with sample commands that you will use in lab, from which you can cut and paste if you like. The lab materials: (lab materials will be posted here as they become available.)
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