Download Stat 1561 - Ohio Northern University

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)