Course Syllabus
Elementary Probability and Statistics - MATH 1530

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Class Hours:               4*                  Credit Hours:      3     Official College Syllabus

                                                           Date Revised:     Fall, 2004

*Regular classes have one hour a week in a computer lab.  Accomodations will be made for distance learning classes.

Catalog Course Description: Topics include elementary probability theory, concepts of descriptive statistics, discrete and continuous distributions, hypotheses testing, confidence intervals, sample sizes, correlation and regression, multinomial experiments, and contingency tables. Non-calculus based. Computer applications will be investigated.

Entry Level Standards: High school algebra I and II and ACT math score of at least 19; or DSPM 0850 or equivalent math placement score.

Textbook and Personal Equipment Required of Course:

1. Triola, Mario F. Essentials of Statistics, 2^nd ed. , Addison Wesley Longman, Reading, MA, 2001.
    If your book is missing it's formula card, call or email and I will send you a copy.
     You can also get a copy off of the publisher's website at:
    http://media.pearsoncmg.com/aw/aw_triola_elemstats_9/pdfs/tes09_po.pdf

2. Triola, Mario F. Statdisk Student Laboratory Manual and Workbook, that accompanies STATDISK version 9.6.x.
    Addison Wesley Longman, Reading, MA 2001.  (ISBN 0-321-29526-9)

3. Copy of STATDISK program- version 9.6.x - provided by CD in back pocket of text or can be downloaded from the Triola website:  http://wps.aw.com/aw_triola_stats_series.  If CD is missing return textbook to Bookstore for exchange.

4. Scientific calculator that will compute two-variable statistics.

4.  VT section:  check out complete set of video tapes - GN 241 - main campus
    Regular class students may view the videos in any Learning Center on any campus: Pellissippi Campus - ER 330

6. Optional: Student Solutions Manual - very strongly recommended for VT or TWAV students

7. See Instructor's Course Guidelines for other necessary supplies.

1.  Construct a frequency distribution.
2.  Graph a frequency distribution as a histogram, a frequency polygon, and an ogive.
3.  Solve for the mean of raw data scores and frequency distributions.
4.  Solve for variance and standard deviation of raw data scores and frequency tables.
5.  Determine the mean, variance, and standard deviation of a probability distribution.
6.  Calculate mathematical expectation.
7.  Solve for the probability, mean, variance, and standard deviation of binomial experiments.
8.  Solve basic probability problems.
9.  Apply the addition and multiplication rules.
10.  Apply counting principles.
11.  Define and use the rules of complementary events.
12.  Find the z-score.
13.  Utilize the z-score when finding probabilities of continuous variables.
14.  Algebraically find the score when given a probability.
15.  Utilize the normal curve to approximate the binomial distribution (optional).
16.  Utilize the central limit theorem to find the probabilities of sample means.
17.  Test Hypotheses about populations using the normal curve.
18.  Utilize the t-test when the normal curve is unsuitable.
19.  Utilize confidence intervals.
20.  Calculate appropriate sample sizes for tests of proportions and means/.
21.  Determine linear correlation and develop a linear regression equation.
22.  Test hypotheses involving normal distributions, multinomial experiments, and contingency tables.

Grading Scale:
93-100       A
88- 92        B+
83- 87        B
78- 82        C+
70- 77        C
60- 69        D
below 60    F
Computers and/or calculator exercises are a required component of this course. Individual instructors will provide required assignments.

Experimental surveys involving data collection and/or reports may be assigned by the instructor. Specifics will be provided by the instructor.

Individual instructors must distribute their policy on academic dishonesty during the first week of classes.

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Return to MATH 1530

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Revised: Decmeber 5, 2004

    cbs