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University of Vermont Department of Mathematics & Statistics STAT 51 Syllabus Course: Probability with Statistics Instructor: Katherine Merrill Section: STAT 51 – OL1 CRN: Office: Office Phone: 106 Mansfield House 60197 802-656-3429 E-mail/Webpage: Use STATSPortal messaging to communicate to me. Office Hours: By appointment. STATSPortal: This is the online software application where your course will be located. You must purchase an access code for your course. Please see how to register for STATSPortal on Blackboard. Textbook: “Statistics, concepts and Controversies,” David S. Moore and William I. Notz, 7 Edition, Freeman Publishing. The textbook comes as an e-book on STATSPortal. You may purchase the book at the bookstore. Or a copy of the textbook is on reserve at the library. Book Companion Website: http://www.whfreeman.com/scc7e . th Course Description: Probability with Statistics is a course designed to explore and understand the role that statistics play in our everyday lives. We’ll begin the course by looking at the ways that statistics are used and collected; we’ll consider different approaches to sampling and study design. The second portion of the class will be devoted to ways that data can be understood using graphs and numerical summaries. The third portion will cover the basics of probability and probability distributions. The last portion of the class will deal with generalizing sample results to the population, using confidence intervals and hypothesis tests Technology: You are required to obtain a basic calculator capable of doing powers and square roots. It is recommended to have a TI-83 or TI-84 if possible… these are very easy to use and have some really neat statistical features. Grading: Your grade for the course will be based on: Homework on STATSPortal (20%) 3 Tests on STATSPortal (40%) Labs (40%) Final letter grades are determined as follows: A+ 97-100 B+ 87-89 A 94-96 B 84-86 A90-93 B80-83 C+ C C- 77-79 74-76 70-73 D+ D D- 67-69 64-66 60-63 Expectations and UVM Policies: Students are expected to act in accordance to the rules outlined in the University’s Policy Statements. Academic Integrity Policy Code of Student Rights and Responsibilities FERPA Rights Disclosure Diversity at UVM and in the College of Engineering and Mathematical Sciences Academic Assistance: Students with documented learning disabilities are entitled by law to certain “reasonable accommodations.” If you have a documented reason for special accommodations, you must provide written evidence of this as soon as possible from the appropriate office. Further info at http://www.uvm.edu/~aspprogs . Course Goals G1: Students should gain an understanding of and appreciation for the utility and limitations of data and statistical methods for solving realworld problems. G2: Students should gain an appreciation for the methods of data collection, including an understanding of potential pitfalls, biases, and ethical issues. G3: Students should gain facility with the terminology, notation, and tools generally found in an introductory statistics course. In particular, students should be comfortable reading and understanding an article citing summarized statistics, and be able to dissect it into relevant course-related components. G4: Students should demonstrate a basic understanding of the laws and rules of probability, and how they relate to statistics, particularly the ideas of randomness and statistical significance. G5: Students should demonstrate facility with basic statistical methods, including confidence intervals and hypothesis tests, and more importantly, students should understand when a particular method is appropriate, and how to appropriately interpret results in the context of a stated problem. G6: Students should be able to formulate and communicate solutions to problems in clear, grammatically correct, precise English. Course Focus To be able to communicate and interpret statistics. Course Level z-scores only, one sample inferential statistics Course Topics Required topics listed below, in orders of chapters 1-24 (excluding 23) in Moore & Notz Introduction Over view of Statistics and Statistical Studies Data Classification Randomness and Statistical Studies Randomness for Simple Random Sample Randomness for Simulation Studies Sample Surveys (sampling methods, survey script design issues) Comparative Observational Studies (confounding and its implications) Experiments (experimental design: issues, terminology, statistical significance) Data Ethics Descriptive Statistics Frequency Distributions and Graphs (data table, bar chart, pie chart, histogram, stem-leaf, boxplot) Measures of Central Tendency (mean, median) Measures of Variation and Position (range, IQR, standard deviation) Normal Distribution Empirical Rule Finding probabilities and finding percentile values Correlation and Regression Scatterplot Correlation Coefficient Linear Regression Consumer Price Index for calculating constant dollars Probability Basic Concepts of Probability (multiplication rule, addition rule) Sampling Distributions for Proportions Sampling Distributions for Means **(optional) Inferential Statistics Confidence Interval for a Proportion Hypothesis Test for a Proportion Confidence Interval for a Mean (σ known and/or large n) , **(optional) Hypothesis Test for a Mean (σ known and/or large n), **(optional) Chi-Square Test of Independence