Course Description 

In this course we will study measures of central tendency and dispersion, sampling distributions and statistical inference, regression and correlation. Plus one hr/wk by arrangement. NOTE: TI-83 or TI-84 Graphing Calculator required. Transfer: UC; CSU (B4). CAN STAT 2

Prerequisite: Completion of MATH 120 or MATH 123 with a grade of C or better, or appropriate placement test score and other measures as appropriate, or equivalent.
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Syllabus

Math 200 (80571): Probability and Statistics

Room: 8-8304

Thursdays 6:00 – 10:05pm

Fall 2007

Instructor: Christopher Lippi

Office hours: 1/2 hour before and after each class in our classroom or by appointment. Email me to set up a time if you can't meet before or after class.

Email: lippic@smccd.edu (best way to reach me)

Or you can leave a note for me in my mail-box.

Website: www.smccd.edu/accounts/lippic

Consistent attendance is strongly recommended, but if a student misses class they are responsible for ascertaining material covered and associated homework. It is also the student’s responsibility to drop the course, if desired.

IMPORTANT: There will be no make-up quizzes or exams given. The lowest quiz grade will be dropped. Homework and important dates will be posted on the class website.

You are encouraged to work together on homework assignments, but for all quizzes and exams you are to work independently. Sharing work of any kind on quizzes or exams is considered cheating. Academic honesty is essential. Any student caught cheating will be given an F on the associated assignment. Should this behavior be repeated, a failing grade will be issued for the entire course.

If you require extra help with homework or quizzes, simply send an email and we will make other arrangements. There is also free tutoring available at the Learning Center on the 1 st floor of building 5, M-F.

Course Classification: 4 credits course transferable to University

Course Overview: This course will integrate graphing technology with the following topics:  probability, random variables, hypothesis testing, confidence intervals, correlation, linear regression, small sample methods and non-parametric statistics. In addition to using graphing technology, students will learn the concepts through lecture, textbook (chapters 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 and 12), guided discovery, labs, and writing activities.

Course Objectives:
Upon the completion of this course, the student should be able to:
  1.       Define population and sample.
  2.       Describe a set of quantitative data by computing measures of central tendency (mean, median, mode) and measures of dispersion (range, variance, standard deviation).
  3.       Calculate probabilities using the addition law of probability, law of complement, multiplication law, and conditional probability.
  4.       Solve probability problems using counting techniques.
  5.       Construct a probability distribution for a discrete random variable and compute the expected value (mean), variance, and standard deviation of this distribution.
  6.       Construct a binomial probability distribution and compute the mean, variance and standard deviation.
  7.       Find probabilities using the z-tables (Z is a standard normal variable).
  8.       Use the Central Limit Theorem to find the mean and variance of the sampling distribution of the sample mean.
  9.       Compute confidence intervals using the Z and t-distributions.
 10.      Use a hypothesis test to determine whether to accept or reject the null hypothesis: a statement, assertion, or claim about the nature of a population.
 11.      Calculate the coefficient of linear regression (correlation coefficient) for bi-variate data.
 12.      Fit a least squares regression line to bi-variate data.
 13.      Use the equation of the regressions line to predict a particular value of y of a specific value of x.
 14.      Conduct hypothesis tests using the Two-Sample Sign Test or the Rank-Sum Test.
 15.      Analysis of Variance: One-Way ANOVA and Two-Way ANOVA

Graphing Calculator Policy: While graphing calculators are great tools to get quick answers, too much dependency on a graphing calculator will actually cause more harm rather than benefit the student. In this regard, for the most part, work accomplished by a Graphing Calculator must be supported analytically. Only then students will gain a full understanding of the topics and see the connections between analytical, numerical, and the graphical solutions.

Attendance: Students are expected to attend all of the lectures.  Student is allowed to miss no more than two classes; otherwise he/she could be withdrawn from the class. However, should you stop attending class, it is your responsibility to officially withdraw; otherwise, an “F” will be assigned.

Evaluation:
Students’ performance will be based on the following assignments:
Tests & Quizzes: There will be 4 tests after each chapter, but the lowest one will be dropped. There also will be Unannounced Quizzes. Some of the assignments are in online format.
Lab Assignment: Statistical Cases & Interpretation of Data. Some of the assignments are in online format.
Cumulative Final Exam: Final Exam will cover all chapters.

Make-up Policy: No make up labs, homework assignments, tests, quizzes or exam will be given. If you must miss the Test – it would be considered the one with the lowest score and will be dropped.

Academic Dishonesty: Cheating on any work will result in a grade of “F” for that assignment. Should it happen twice, a grade of “F” will be assigned for the course.

Cell Phones: No cell phones during the tests, quizzes and exams. All cell phones must be off.

Grading:

Tips to be Successful in this Class:

1. Make sure you have all the prerequisites for the class;
2. Attend all class meetings;
3. Do your homework regularly. You need to show an honest effort to solve every one of these problems. Do not look at the solutions guide before you’ve spent some time on your own to solve a problem. On the other hand, make sure to check your final answer, so that you can find and correct any errors. Everyone makes mistakes – the key is not to get discouraged and frustrated, but to learn and not to repeat the same mistake. Remember, doing homework regularly, significantly increases your chance of succeeding in this class.
4. If you are having difficulties, you should e-mail me immediately and we will resolve the problem.

Approximate Schedule for Fall 2007:
August 23 – December 20
Thursdays 6:00 – 10:05 PM

           *This schedule is subject to change, please check website frequently for up-dates*

Materials

Required Material:

1. Text: Triola, M. (2006).  Elementary Statistics (Tenth Edition). Boston: Addison Wesley Longman, Inc.
2. Graphing Calculator: TI-83, TI-83+, or TI-84.
3. Printouts: For each lecture I will give you print outs which you are required to keep and bring to class.  You will be able to use some of the material I give you on tests and it will help you study for exams.

***A graphing calculator is required for this course (preferably TI-83 or TI-83 Plus).

Evaluation

Your grade will be based on the following scheme:

Tests – 50%

Lab – 10%

Homework – 10%                   

Cumulative Final Exam – 30%

Important Dates