MATH 1342 - STATISTICAL METHODS Purpose – To provide a transferable course in the basic elements of statistical methods. The prerequisite for this course is either College Algebra or Math Analysis I. Textbook & Supplies - Elementary Statistics - A Brief Version, 5/e, by Allan G. Bluman You will also need a scientific calculator, preferably a TI 83. Instructor - S. Robinson Office - 318F Hours - by appointment only Phone – 806.716.4684 Attendance - Regular attendance is essential for successful completion of the course. If a student has 2 consecutive absences, or any 3 absences, the student may be dropped from the course with a grade of X. Assignment Policy - Homework will be assigned each class meeting and will be reviewed at the next class meeting. Completion of homework assignments is necessary in order to be adequately prepared for exams. In the event of an absence from class, it is the student's responsibility to obtain class notes, assignments, and announcements. Assignments and other course information will be posted on Blackboard. YOU are responsible for keeping up-to-date and prepared! Exams & Graded Homework - There will be three major exams, three graded homework sets, and a cumulative final exam. No make-ups will be given on exams. If a major exam is missed, you will receive a grade of 0 for the missed exam. If the final is higher than the lowest major exam grade, the lowest major exam will be dropped and the final will be counted twice. If a student has no more than two absences and is satisfied with his/her average in the course at the end of the semester then he/she may elect not to take the final exam. Graded Homework Assignments – There will be three sets of graded homework assignments in addition to the daily homework assignments. These graded assignments will be due on the day of each major exam. Announcements will be made in class as to the specific problems to be turned in. If you are absent from class, be sure to get the graded assignment from your instructor; these assignments will also be posted on Blackboard. Cell Phones – Please turn off all cell phones during class! If you choose to use your cell phone during class you will be asked to leave and forfeit an absence. Grading Standards - The grading scale will be as follows: 90 – 100 = A 80 – 89 = B 70 – 79 = C 60 – 69 = D < 60 = FGrade Determination - Grades will be averaged according to the following formula: (Ex #1 + Ex #2 + Ex #3 + Final + Ave.Graded Homework) ÷ 5 = Course Grade Dropping the Course - The last day to drop is June 23, 2011. If you drop on or before this date you will receive a grade of W. Course Objectives - Upon completion of this course and in order to receive a passing grade, the student must demonstrate mastery of the following concepts: 1. Represent raw data using frequency distributions 2. Represent raw data using polygons, ogives, histograms, and pie charts 3. Calculate measures of central tendency, variation, and position for both grouped and ungrouped data and interpret in writing the significance and meaning of the calculations. 4. Calculate coefficients of variation and skewness and interpret in writing the significance of the calculations. 5. Calculate classical and empirical probabilities. 6. Apply binomial, Poisson, and normal distribution properties to calculate probabilities and interpret in writing the significance of the calculations. 7. Calculate mean, variance, and standard deviations of probability distributions and interpret in writing the significance of the calculations. 8. Evaluate a hypothesis testing situation to determine the appropriate test to be used. 9. Use parametric and non-parametric tests for hypothesis testing and interpret in writing the significance of test results. 10. Calculate coefficients of correlation, determination, and non-determination and interpret in writing the significance of the calculations. 11. Calculate simple and multiple linear regression equations and use equations to make predictions. 12. Use statistical software and/or a statistical calculator to aid calculations and make presentations.Tentative Course Outline – Math 1342.200.103s Week 1 Chap. 1 – Introduction; 2.1 – Frequency Distributions; 2.2, 2.3 – Graphs; 3.1 – Central Tendency Week 2 3.2 – Measures of Variation; 3.3 – Measures of Position; 3.4 – Exploratory Data Analysis; 4.1 – Introduction to Probability; 4.2 – The Addition Rule; Exam 1 Week 3 4.3 – The Multiplication Rule; 5.1, 5.2 – Discrete PDFs; Mean, Variance, Standard Deviation of a Discrete PDF; 5.3 – The Binomial Distribution; 6.1, 6.2 – The Normal Distribution; 8.1 – Hypothesis Testing Introduction; Exam 2 Week 4 8.2 – The Z Test; 8.3 – The T Test; 8.4 – The Z Test for Proportions; 9.1, 9.2 – The Z Test & T Test for 2 Samples; 10.1, 10.2 – Correlation & Regression Analysis; 10.4 – Standard Error & Prediction Intervals Week 5 Review for Exam 3; Exam 3; Final Review; Final