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Unformatted text preview: 2 of 9 1.1 Course Information Course description and objectives An applied introduction to statistics and its underlying foundations in probability. Includes sampling, data display, measures of central tendency, variability, and position; random variables, probability, probability distributions; sampling distributions, assessing normality, confidence intervals, hypothesis testing, ANOVA, and regression. Use of the statistics software R is taught throughout the course. Prerequisites Within the last three years: MAT 144 or 151 with a C or better or required score on the Mathematics assessment test. This is a university level class. We have a full load of challenging material to cover and you will have to work and study diligently to succeed. Reading Before attempting the homework you need to read the associated sections of the book. You are responsible for reading the sections listed on the course calendar. Home work A key component of this course is the homework. Homework as signments are posted on the course website. Homework is always due on the Tuesday following the date it is assigned. Questions about homework will be discussed in class. Late homework will be penalized. No late homework will be accepted during the final week of class or final exam week. Homework must be neat and organized to receive full credit. Messy work leads to mistakes and I want you to develop good habits. Lecture notes It is your responsibility to take notes during class. If you miss a class talk to a fellow student to get caught up. For many lectures, outline notes will be posted as PDFs on the course website. If you wish to use them it is your responsibility to print them. Do not print notes on the classroom printer. Posted outline notes are not a replacement for attending class. They do not contain the problems that we work out in class. Quizzes Quizzes will frequently be given at the beginning of class. They are typically short and test whether you understood the homework, read the book, and absorbed key concepts from the recent lectures. No makeup quizzes are given. You will do well on the quizzes if you quickly review the past two lectures before class, read the book, and completed and understood the homework. Exams There will be two midterm tests and a final exam. No makeup exams will be given. The final exam is cumulative; this is your opportunity to prove that you have mastered the material even if you struggled with it on a previous test. If you would like your final exam returned to you please bring a self addressed stamped envelope (with 2 first class stamps on it) and turn it in with the final. I will mail your graded exam back to you. Computers & calculators It is not reasonable to analyze real data sets by hand. I will teach you the underlying mathematics, how to manually do the calculations, and how to analyze real data sets usingRa high quality open source statistical software package that runs on all major computer Anthony Tanbakuchi MAT167 MAT167 Syllabus...
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 Spring '11
 Tanbakuchi
 Statistics, Probability

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