Pierce College at Joint Base Lewis-McChord Course Syllabus Course dates: 11 July, 2017 5 September, 2017 COURSE TITLE: Introduction to Statistics ABBREVIATION: Math& 146 CREDIT HOURS: 5 INSTRUCTIONAL HOURS: 50 INSTRUCTOR: Dr. Harold Nelson INSTRUCTOR INTRODUCTION: I received my bachelors degree in mathematics from Notre Dame in 1965, my masters in mathematics from the University of Kentucky in 1967 and my PhD in Economics from the University of California, San Diego in 1977. I have been teaching for Pierce College since 1986. I was employed full time as an economist/statistician by the State of Washington for over 25 years. I have taught classes in statistics at least 100 times. COMMUNICATIONS: All course communications will be through the Canvas course inbox. PREREQUISITE: MATH 096 or MATH 098 or equivalent with a grade of at least 2.0 or satisfactory placement test score. CATALOG DESCRIPTION: Introduction to the analysis of data using descriptive statistics, probability, and inferential statistics. Topics include: data collection methods; measures of center and variation; graphical presentation of data; probability; binomial and normal distributions; confidence intervals; hypothesis tests of one and two parameters, using the normal, Student-t, and chi-square distributions; linear correlation and regression. REQUIRED TEXT AND MATERIALS: This course uses Open Educational Resources, meaning all material will be made available to you at no cost. I will provide instructions on accessing the material in the course. The primary textual material for the course is the free Statistical Reasoning course offered by Carnegie Mellon University as part of the Open Learning Initiative. It is available at http://oli.cmu.edu/learn-witholi/see-our-free-open-courses/. You have the option of registering for the course or just entering it without signing in. The only difference is that if you register, the system will help you keep track of where you are in the course. Other no-cost reading and tutorial material will be introduced during the course. You will need to install two pieces of software to do your homework. One is R, which can be downloaded from http://cran.us.r-project.org/. The other is RStudio, which can be downloaded from http://www.rstudio.com/ide/download/. Both of these are available under public license at no cost. This will require you to have administrator privileges on your computer. Your computer will need to have either full Windows or OSX. Tablets running Windows/RT or ios will not be adequate. Chromebooks are also inadequate. COURSE GUIDANCE:
1. Online Elements: Portions of this course will be available online, in Canvas. (explain the portions, especially if web enhanced or hybrid what is online and what will be in the classroom) 2. Time Commitment: A typical student should plan to spend about 10-15 hours per week on this course outside of class. 3. Late Work Policy: You are expected to submit all work before 11:59 PM on the date indicated in the schedule below. Late work is subject to a 10% reduction per week late. 4. Proctoring: This course may have online proctoring required for assessments. I will furnish proctoring information very early in the course so you can make necessary arrangement well in advance of the proctored assessment(s). 5. Course Expectations: As a student, you can expect that I will respond to your e-mail within 48 hours and will grade assignments/tests/quizzes within four (4) days. Exceptions will be announced in advance. Please contact me immediately if you have not heard from me within these timelines. 6. Introductions: Students are expected to post a short (one paragraph) introduction to the course Discussions Area during the first week of the course. I have guidelines within the course for the introduction located in the first. 7. Discussions: This course may have discussions as part of the curriculum. Students may also desire to discuss topics with other students in an unscheduled manner. I, as part of the course, may publish discussion questions/topics and require your input. Should you desire to hold a discussion with other students enrolled in your course, you may be authorized to create your own discussion topics. 8. Course Incompletes: are not automatic and must be requested from me. Incompletes must be approved and arranged with me. 9. Student Responsibilities: Please remember that it is your responsibility to notify me of major changes in your circumstances (e.g. deployment) that affect your ability to complete all course work within the course timeline. 10. Plagiarism software: Plagiarism software may be in use during your course. http://www.pierce.ctc.edu/library/plagiarizing 11. Etiquette: Etiquette for classroom and online courses is the same. Treat others as you would like to be treated, respectfully and compassionately. STUDENT OUTCOMES: Upon successful completion of this course, you should be able to: Descriptive Statistics Probability 1. Demonstrate appropriate use of statistical terms. 2. Identify and describe various sampling methods. 3. Identify components of experimental and observational studies. 4. Identify uses and misuses of statistics. 5. Construct appropriate representations of data, such as tables (contingency tables and frequency distributions), and graphs (histograms, scatterplots, and boxplots), with and without technology. 6. Interpret and analyze various representations of data. 7. Calculate measures of center (mean, median, mode) with and without technology. 8. Calculate measures of variation (range, standard deviation, variance) with and without technology. 9. Identify various distributions (such as normal, uniform, skewed). 10. Understand and use probability vocabulary in context. 11. Calculate probability for simple and compound events using both empirical data and sample spaces.
12. Select and use appropriate counting methods (fundamental counting rule, permutations, combinations). 13. Identify defining characteristics of discrete probability distributions. 14. Solve problems using discrete probability distributions, including binomial distributions. 15. Determine the mean and standard deviation of discrete probability distributions. 16. Identify defining characteristics of continuous probability distributions. 17. Solve problems using continuous distributions including uniform and normal distributions. 18. Apply the Central Limit Theorem to calculate the mean and standard deviation of sampling distributions and use these to solve probability problems. Inferential Statistics 19. Determine appropriate sizes of samples. 20. Generate confidence intervals for means and proportions. 21. Select and perform hypothesis tests for the mean of one population, proportion of one population, means of two populations, and proportions of two populations. 22. Use the chi-square distribution to perform a hypothesis test such as goodness-of-fit or test of independence. 23. Analyze two-variable data using scatter plots, linear correlation coefficients, and linear regression lines, using technology to calculate these items. 24. Determine whether there is a statistically significant linear correlation between two variables. Communication and General Skills 25. Communicate the results of data analysis clearly and precisely in both technical and non-technical words, including the use of the following: correct statistical vocabulary; graphical, symbolic, and numeric support for conclusions; indications of the strength and limitations of conclusions. 26. Engage in experiential learning of key concepts through classroom activities and/or projects. 27. Draw logical conclusions related to a specific problem by integrating the use of the following: sampling; summary statistics and presentation of data; and either confidence intervals, hypothesis tests or regression analysis as appropriate. COURSE REQUIREMENTS: The main sequence of the course is divided into eight two-week modules, each of which requires a similar set of activities in order: 1. Read and work through the assigned material in the CMU OLI course. 2. Complete the assigned tasks embedded in the reading material and submit a document demonstrating your successful completion. 3. Read and work through the lecture notes written by the instructor. 4. Take the quiz before the deadline, which is midnight on the second Sunday of the module.
II. There are three lab assignments, which cover multiple modules. Instructions for these labs will be distributed during the course. GRADING: Each assignment and assessment will be given a specific point value. The earned value of all possible points will determine grade, per Pierce College published policy (see the Policies and Procedure section) WEIGHT OF ASSIGNMENTS/ASSESSMENTS: Component # per module # per course Value Reading Assignments (100 pts. each) 1 per module 8 per course 800 pts total Quizzes (100 pts. each) 1 per module 8 per course 800 pts total Labs (200 pts. each) NA 3 per course 600 pts total Total points for all course work = 2,200 points. Note: Divide your total points by 2,200 to calculate your percentage grade. GRADE SCALE: Pierce College records all grades with the GPA scale (0.0 4.0) and does not assign letter grades. The highest possible grade is a 4.0, which would be considered an A by most colleges. The lowest passing grade is a 1.0, which would be considered a D- by most colleges. The percentage grade that you earned will be converted to a GPA grade. To make this conversion, a score of 100% (2,200 points) is considered the equivalent of a 4.0, and a score of 60% (1,320 points) is considered the equivalent of a 1.0. Intermediate scores are converted to the GPA scale using the following formula based on stating the percentage score as a decimal number between 0 and 1.0. GPA = 7.5 * Percentage 3.5 EXTRA CREDIT: There will be an assignment, similar to a lab, released near the end of the course. It will be worth a maximum of 150 points. The formula for converting to a GPA grade will remain the same, but with extra credit, the percentage grade could be greater than 100%. The maximum possible grade will still be 4.0. COURSE SCHEDULE: You will accomplish each module's learning objectives, which align with the course outcomes, by completing the readings and assessments as listed in the schedule, below. 1 Exploratory Data Analysis: 1 Variable CMU Slides 1-33 Begins 7/11/2017 Ends 7/23/2017 1. 2,3,4,5,6,7,8,9,25,26 2 Exploratory Data CMU Slides 34-62 Begins 7/18/2017 Ends 7/30/2017 3,4,5,25,26,27
Analysis: Relationships 3 Designing studies and obtaining data CMU Slides 63-84 Begins 7/25/2017 Ends 8/6/2017 1,2,25,26,27 4 Probability and random variables CMU Slides 85-110 Begins 8/1/2017 Ends 8/13/2017 10, 12, 13,14,15,16 5 Sampling Distributions CMU Slides 111-129 Begins 8/8/2017 Ends 8/20/2017 16, 17, 18, 19 6 Confidence Intervals CMU Slides 130-142 Begins 8/15/2017 Ends 8/27/2017 20,25,26,27 7 Hypothesis Testing CMU Slides 143-174 Begins 8/22/2017 Ends 9/3/2017 21,25,26,27 8 Inference for Relationships Probability Theory CMU Slides 175-193 CMU Slides 203-212 CMU Probability and Statistics Course Slide 95-123 Begins 8/29/2017 Ends 9/5/2017 11,22,24,25,26,27 CONSENT AGREEMENT: A Pierce College course requires frequent interaction with your instructor. It is, therefore, essential that you agree to the conditions set forth in the course syllabus. After you have read the course syllabus, let us know (do not wait) if you do not agree with the course conditions and requirements. If we do not hear from you within three (3) days from the start of the course, we will assume you agree with the conditions set forth in this syllabus. POLICIES AND PROCEDURES: Access Pierce College at Joint Base Lewis-McChord and Pierce College District here: www.pierce.ctc.edu/military/canvas/policies/index.html DISABILITY SERVICES Your experience in this class is important to me, and it is the policy and practice of Pierce College to create inclusive and accessible learning environments consistent with federal and state law. If you experience barriers based on disability, please seek a meeting with the Access and Disability Services (ADS) manager to discuss and address them. If you have already established accommodations with the ADS manager, please bring your approved accommodations (green sheet) to me at your earliest convenience so we can discuss your needs in this course. ADS offers resources and coordinates reasonable accommodations for students with disabilities. Reasonable accommodations are established through an interactive process between you and the ADS manager, and I am available to help facilitate them in this class. If you have not yet
established services through ADS, but have a temporary or permanent disability that requires accommodations (this can include but not be limited to; mental health, attention-related, learning, vision, hearing, physical or health impacts), you are encouraged to contact ADS at 253-964-6526 (Fort Steilacoom) or 253-840-8335 (Puyallup and JBLM).