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COURSE SYLLABUS Ohio Northern University College of Arts and Sciences Department of Mathematics and Statistics Date: Fall 2011 Course Stat 1561 Name: Statistics for Professionals 1 Credit hours: 3 Lecture hours/week: 3 Lab hours/week: 0 Instructor: Staff Usual Student Level: Freshman or Sophomore Course required of students in: Pharmacy, Biology and Allied Health Sciences, Business Administration Course frequency per semester/year: Offered Fall and Spring semesters every year Average enrollment per year: 450 This course has a prerequisite: 2 years of H.S. Algebra This course is a prerequisite for: Stat 2561 Catalogue Description: Describing data graphically and numerically; Describing bivariate data; Probability concepts; Discrete and continuous random variables and probability distributions; Sampling distributions; Statistical inference (point estimation, confidence intervals, hypothesis testing) for a single mean and the difference between two means; Statistical study designs. Course Objectives: To introduce the students to data analysis, concepts of probability, and fundamentals of statistical inference. Textbook: “Statistics: Principles and Methods” by Johnson and Bhattacharyya, Wiley 6th ed. Outline of content follows: Course Outline Stat 1561 Statistics For Professionals 1 Introduction to Statistics Descriptive statistics (including tabular and graphical methods − particularly histograms) Concepts of probability (including binomial and normal distributions, Bayes Theorem, Simpson’s Paradox) Sampling distributions (including central limit theorem) Bivariate data (brief discussion of contingency tables for 2 discrete variables, correlation and regression for 2 quantitative variables) Point estimation, confidence intervals, and hypotheses tests: for a single mean of a quantitative variable for the difference between two means for a quantitative variable (independent and paired samples) for the equality of two variances (optional) Study design Experimental vs. observational designs Completely randomized vs. randomized block experimental designs Matched vs. unmatched data Remarks: 1. In general, emphasis should be on “statistical reasoning” as opposed to “statistical calculations”. 2. The TI-83 or 84 calculator is required for this course. Please do not use built-in STAT functions to compute confidence intervals or perform hypothesis tests until after the students have mastered these concepts. Outline of topics from “Statistics: Principles and Methods” (6e) by Johnson and Bhattacharyya: 1. Introduction 2. Organization and Description of Data (can omit Section 6) 3. Descriptive Study of Bivariate Data (can briefly discuss regression in Section 6) 4. Probability 5. Probability Distributions 6. The Normal Distribution (can omit Sections 6 and 7) 7. Variation in Repeated Samples − Sampling Distributions 8. Drawing Inferences From Large Samples (omit Section 5) 9. Small−Sample Inferences For Normal Populations (can omit Section 5) 10. Comparing Two Treatments (omit Section 6)