Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Elizabethtown-Lewis Central School Course Syllabus Spring 2017 Course Number & Title: MAT 121 EEL Elementary Statistics Credits: 3 Units Time & Room: Monday thru Friday, 40 minute periods Room 224 Instructor: James E. Sheffer Course Description An introductory course that enables students to comprehend and compute the various measures of statistics. Topics include the nature of statistics, sampling, measures of central tendency, measures of dispersion, correlation, linear regression, normal and binomial distributions, fundamentals of probability, and statistical inferences. Course Objectives At the conclusion of this course, the student will be able to: 1. Demonstrate knowledge and an ability of basic statistics. 2. Apply appropriate statistical techniques to applications 3. Demonstrate a competency of elementary statistics for continuing on to other statistics based courses. Textbook Essentials of Statistics; 3rd edition, Triola Course Organization and Methods The material is presented by a combination of lecture, example problem solving, group discussion, and individual assignments. Each session will include a review of assigned problems, introduction to new material, and application of new material. Course Content and Schedule 1/23 1/24 1/25 1/26 1/27 Overview; Definitions Types of Data Critical thinking; Percentages Critical Thinking; Correlation No School for Students (Regional Scoring) 1/30 1/31 2/1 2/2 2/3 Design of Experiments Extra Day Design of Experiments Review Chapter One Assessment 2/6 2/7 2/8 2/9 2/10 Overview; Definitions; Frequency Distribution Frequency Distribution Histograms Statistical Graphics Statistical Graphics 2/13 2/14 2/15 2/16 2/17 Review Review Chapter Two Assessment Extra Day; Statistics @ Work Extra Day February 20th through February 24th: Mid-Winter Recess 2/27 2/28 3/1 3/2 3/3 Overview; Measures of Center (Part 1) Measures of Center (Part 2) Measures of Center Standard Deviation Standard Deviation 3/6 3/7 3/8 3/9 3/10 Variance of a Sample and Population Interpreting Standard deviation; Empirical Rule Chebyshev’s Theorem; Rationale for Standard Deviation Comparing Variation in Different Populations; Review Chapter Three Assessment (Part 1) 3/13 3/14 3/15 3/16 3/17 Z Scores; Quartiles Measures of Relative Standing Exploratory Data Analysis; Outliners; Box Plots Review No Class: Superintendent’s Day 3/20 3/21 3/22 3/23 3/24 Review Chapter Three Assessment (Part 2) Probability Fundamentals Probability Fundamentals Extra Day if Needed 3/27 3/28 3/29 3/30 3/31 Probability Addition Rule Probability Addition Rule (Extra Day) Probability Multiplication Rule Complements and Conditional Probability Counting Rule; Factorial Rule 4/3 4/4 4/5 4/6 4/7 Permutations and Combinations Review Probability Review Probability Chapter Four Assessment Extra Day April 10th to April 14th: Spring Recess 4/17 4/18 4/19 4/20 4/21 Overview; Random Variables Rationale for Formula’s Unusual results; Expected Value Binomial Probability Distributions Binomial Probability Distributions 4/24 4/25 4/26 4/27 4/28 Mean, Variance, and Standard Deviation for the Binomial Dist. Review Review Chapter Five Assessment Extra Day 5/1 5/2 5/3 5/4 5/5 Normal Distribution Standard Normal Distribution with z scores Probabilities with z scores Applications of Normal Distributions Applications of Normal Distributions 5/8 5/9 5/10 5/11 5/12 Sampling Distributions and Estimations Sampling Distributions and Estimations Central Limit Theorem Central Limit Theorem Extra Day 5/15 5/16 5/17 5/18 5/19 Normal as Approximation to Binomial Normal as Approximation to Binomial Review Review Chapter Six Assessment 5/22 5/23 5/24 5/25 5/26 Extra Day if Needed Estimating a Population Proportion Confidence Intervals; Critical Values Margin of Error Extra Day 5/29 5/30 5/31 6/1 6/2 No School: Memorial Day Estimating a Population Mean; ơ Known Review for Final Review for Final Review for Final 6/5 6/6 6/7 6/8 6/9 Review for Final Review for Final Final Exam (Part One) Final Exam (Part Two) Extra Time 6/12 6/13 Extra Day if Needed Extra Day if Needed Method of Evaluation Your final grade will be determined by the following: a) Seven Forty Minute Exams b) Daily Assignments c) Cumulative Final Grades A AB+ B BC+ 93-100 90-92 87-89 83-86 80-82 77-79 C CD+ D DF 73-76 70-72 67-69 63-66 60-62 0-59 Attendance Students are expected to be in class at all times. Students with excessive absences will be withdrawn from college credit. Extra Help If you are having difficulty, see me immediately or try working with other students in the class. I am available before or after school, my prep period, or my lunch.