-- COURSE   SYLLABUS -- MT143 -- Introductory Statistics I Fall  2009

• TEXTBOOK: Elementary Statistics: Picturing the World,  4/E;
  By: Ron Larson & Elizabeth Farber;  Published by Prentice Hall Co., 2007;
  
  
  Supplies- Scientific Calculator - does not need to be a graphing calculator.

   

• Greetings!  I take this opportunity to welcome you to MT143 (Introductory Statistics I). This is a first course in descriptive and inferential statistics. Topics include descriptive statistics; probability distributions; confidence intervals and tests of hypotheses of means and proportions; simple correlation and regression; and computing with the computer program Minitab.

  Pre-requisite: It is assumed that you have completed MT007 or MT013 with a passing grade, or appropriate college equivalent, or have a satisfactory placement test score. This means you need to be comfortable with simple algebra (e.g., know how to read formulas, equation of a straight line, plotting points, taking powers and roots with a calculator). Because of the wide variability of the grades professors give, I cannot say that a grade of an "A" or "B" in the prerequisite means you have a firm grasp of the prerequisite material.

  I hope that your experience here will be pleasant and productive. I shall try to do my part; however, as is true at all levels of study, the student must do the hard work of learning. All learning of significant knowledge requires considerable effort on the part of the learner. I assume you will put forth an honest effort in this class. By this I mean that you will come to class (or get the notes when you miss), that you will try to do the homework, that you will seek help on those problems you can't do, (If you've seriously worked on a problem for 15 minutes without getting it, then it's time to get help. More than that is a waste of your time. Less than that doesn't give you a real chance to do it yourself). Studying requires discipline, tenacity, and hard work. Plan two hours study time for every hour you spend in class. For this course, I believe that you need an average of 12 hours per week studying.

  I hope this syllabus answered many questions about the class. If questions or other concerns arise, do not hesitate to contact me and ask. You may send me email at alsani@ecc.edu

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• COURSE TOPICS and ASSESSMENT OF STUDENT LEARNING:

  Page	Chapter, Section & Topic
  38	2. Descriptive Statistics 2.1 Frequency Distributions and Their Graphs 2.2 More Graphs and Displays 2.3 Measures of Central Tendency 2.4 Measures of Variation 2.5 Measures of Position
  238	5. Normal Probability Distributions 5.1 Introduction to Normal Distributions and the Standard Normal Distribution 5.2 Normal Distributions: Finding Probabilities 5.3 Normal Distribution: Finding Values 5.4 Sampling Distributions and the Central Limit Theorem
  308	6. Confidence Intervals 6.1 Confidence Intervals for the Mean (Large Samples) 6.2 Confidence Intervals for the Mean (Small Samples) 6.3 Confidence Intervals for Population Proportions
  362	7. Hypothesis Testing with One Sample 7.1 Introduction to Hypothesis Testing 7.2 Hypothesis Testing for the Mean (Large Samples) 7.3 Hypothesis Testing for the Mean (Small Samples) 7.4 Hypothesis Testing for Proportions
  494	9. Correlation and Regression 9.1 Correlation 9.2 Linear Regression 9.3 Coefficient of Determination
  130	3. Probability 3.1 Basic Concepts of Probability. 3.2 Conditional Probability and the Multiplication Rule 3.3 The Addition Rule 3.4 Counting Principles
  192	4. Discrete Probability Distributions 4.1 Probability Distributions 4.2 Binomial Distributions

   

  Assessment of student learning will be measured by FOUR in-class exams, a FINAL cumulative in-class exam, and a simple meta-analysis (a statistical literature review). However, your lowest exam's score (not the final) will be dropped. There are NO makeup exams in this course without a documented reason. If you miss an exam you will receive a zero for that exam and, presumably, you will wish to drop that score. Material for the exams will be drawn from (1) the text, (2) additional readings that I assign, and (3) information presented during class lectures. Exams will be closed book but you can have one page of notes.

  By a simple meta-analysis I mean reviewing, summarizing and synthesizing only one primary quantitative research which has examined a particular question. More details will be given in class.

   

   

  Tentative Assessment Outline
  Exam #1	Chapter 2
  Exam #2	Chapter 5 and 6
  Exam #3	Chapter 7 and 9
  Exam #4	Chapter 3 and 4
  Final Exam	Cumulative
  Meta-analysis	Due End of Semester

   

  The course grade is based on 100%, obtained as follows:
  
  
  

  Assessment component	Percent
  The best three exams	20% each
  Final cumulative exam	20%
  Meta-analysis	20%

  The following Grade Distribution will be used:
  
  

  A : 90% - 100% A- : 88% - 89%

  B+ : 86% - 87% B : 80% - 85% B- : 78% - 79%

  C+ : 76% - 77% C : 66% - 75% C- : 60% - 65%

  D : 50% - 59% F : below 50%