OAKTON COMMUNITY COLLEGE

COURSE SYLLABUS

Instructor: Mr. R. Gordon McClarren Spring 2005

Phone: 847-376-7082 Office Hours:

Office: 2530 D, MWF 9:10-10:00 W 2-3

E-mail gmcclarr@oakton.edu TR 7:40-8:30

 

I. Course Course Course

Prefix Number Name Credit: Lecture Lab

MAT 131 Elementary Statistics 4 4 0

II. Prerequisites:

MAT 053. or geometry proficiency; and MAT 120, Intermediate Algebra, or the equivalent with a grade of C or better, or an appropriate score on the OCC Mathematics Assessment Test.

III. Course (catalog) Description:

This course is an introduction to modern statistics for students in physical, biological and social sciences. Frequency distributions, measures of central tendency and variation, elements of probability theory, statistical inference, sampling techniques and correlation and regression are studied.

IV. Learning Objectives:

1. Compute the measures of central tendency and dispersion.

2. Construct, do calculations with, and graph frequency distribution.

3. Understand and calculate probabilities.

4. Understand probability distributions, including binomial distribution.

5. Compute probabilities as related to normal distributions.

6. Apply the Central Limit Theorem.

7. Understand the nature of hypothesis testing and estimation.

8. Draw statistical inferences about one population concerning the mean, the standard deviation or variance, and proportions.

9. Draw statistical inferences about two populations concerning the mean, the standard deviation or variance, and proportions.

10. Calculate the linear correlation coefficients and the regression lines.

11. Draw statistical inferences concerning multinomial experiments and contingency tables.

 

V. Academic Integrity:

The very nature of higher education requires that students adhere to accepted standards of academic integrity. Therefore, Oakton Community College has adopted a code of Academic Integrity. These may be found in the student Handbook. You may also find a summary of the code of Academic Conduct in the college Catalog. Among the violations of academic integrity listed and defined are: cheating, plagiarism, falsification and fabrication, abuse of academic materials, complicity in academic dishonesty, falsification of records and official documents, personal misrepresentation and proxy, and bribes, favors, and threats.

It is the student's responsibility to be aware of behaviors that constitute academic dishonesty.

Pursuant to the due process guarantees contained in the policy and procedures on Student Academic Integrity, the minimum punishment for the first offense for a student found in violation of the standards of academic integrity is failure in the assignment. In addition, a disciplinary record will be established and kept on file in the office of the Vice President for student Affairs for a period of 3 years.

 

VI. Outline of Topics:

Date

Topic

Textbook Sections

1/18

Introduction to Statistics

1-1 to 1-4

1/20

Summarizing Data with Frequency Tables

2-1, 2-2

1/25

Picture of Data, Measure of Center

2-3, 2-4

1/27

Measure of Variation, Measure of Position

2-5, 2-6

2/1

Exploratory Data Analysis

2-7

2/3

Test #1 (Chapters 1 and 2)

  

2/8

Probability Fundamentals, Addition Rule

3-1 to 3-3

2/10

Multiplication Rule

3-4, 3-5

2/15

Probability through Simulations, Counting

3-6,3-7

2/17

Probability Distributions, Random Variables

4-1,4-2

2/22

Binomial Distributions

4-3, 4-4

2/24

Test #2 (Chapters 3 and 4)

  

3/1

Normal Probability Distributions

5-1,5-2

3 /3

Nonstandard Normal Distributions

5-3, 5-4

3/8

The Central Limit Theorem

5-5

3/10

Approximating Binomial Distributions, Determining Normality

5-6,5-7

3/22

Estimating a Population Mean

6-1,6-2

3/24

Test #3 (Chapter 5)

  

3/29

Estimating a Population Mean, Determining Sample Size

6-3,6-4

3/31

Estimating a Population Proportion and Variance

6-5, 6-6

4/5

Hypotheses Testing

7-1, 7-2

4/7

Testing a Claim about the Mean

7-3, 7-4

4/12

Testing a Claim about a Proportion and Standard Deviation

7-5, 7-6

4/13

Test #4 (Chapters 6 and 7)

  

4/19

Inference about two means

8-1 to 8-3

4/21

Inference about two Proportions, Comparing Variations

8-4, 8-5

4/26

Correlation and Regression

9-1 to 9-3

4/28

Variation and Prediction Intervals, Multiple Regression

9-4, 9-5

5/3

Modeling

9-6

5/5

Review

  

5/10

Test #5 (Chapter 8 and 9)

  

5/12

Project due

  

 

VII. Methods of Instruction:

Methods of presentation can include lectures, discussion, demonstration, experimentation, audio-visual aids, and regularly assigned homework. Individual Projects will be assigned. Calculators/computers will be used when appropriate.
  1. Course Practices Required

1. Doing homework (full credit will only be given if completed when due)

2. Being prepared for class by reading the material that will be covered in class.

3. Expect unannounced quizzes, in class assignments, and writing assignments.

4. The course will be taught using the TI-83 Calculator.

5. Audiovisual tapes of the course are available.

 

IX. Instructional Materials

Text: Mario F. Triola, Elementary Statistics, 9th Edition, Addison Wesley, 2004

A TI-83

  1. Methods of Evaluation:

70 % Five Exams (Lowest of the first 4 will be dropped for those with fewer than 4 absents)

20 % Project, 10 % Homework and Unannounced quizzes.

XI. Other Course Information:

1. To be successful in this class your must be present for all classes. Get to know someone in the class so that if our are absent you can call them to find out the assignment for the next class, test information, and any other information that may be important.

2. If you need extra help make an appointment to see me during by office hours. There are tutors available the Instruction Support Center.

3. Students are expected to maintain a class room environment that allows learning for all students. Lateness does disturb the whole class.

4. If you have a documented learning, psychological, or physical disability you may be entitled to reasonable academic accommodations or services. To request accommodations or services, contact the ASSIST office in Instructional Support Services. All students are expected to fulfill essential course requirements. The College will not waive any essential skill or requirement of a course or degree program.

 

 

 

Homework Assignments

Section

Page

Problems

1-3

17

1-12

1-4

27

1-20

2-2

44

3,7,11,14,15

2-3

55

5,7,9,19

2-4

69

2,4,9

2-5

87

2,4,9

2-6

99

1,4,7,9

2-7

109

9

3-2

128

1-16, 23

3-3

137

1-23 odd

3-4

146

1-23 odd

3-5

153

1-21 odd

3-6

160

1,3,5,7,9

3-7

169

1-8, 9-15 odd,19,22,27,28

4-2

192

1-17 odd

4-3

203

1-9,11,13,15,17,19,21,23,33,34

4-4

209

1-15 odd

5-2

237

1-39 odd

5-3

246

1-19 odd

5-4

256

1-8

5-5

267

1,3,5,8,9,11,13,15

5-6

278

1-21 odd

5-7

286

1,3,7,11

6-2

312

1-23 odd

6-3

327

1-19 odd,22,24,25

6-4

343

1-9 odd,15,19

6-5

355

1,5,9,15,19

7-2

385

1-19 odd,25,33,37

7-3

395

1,3,5,8,9,17,18

7-4

404

1-15 odd

7-5

414

1-11 odd,17,20,23

7-6

423

1,3,6,8,10

8-2

446

1-7 odd, 20

8-3

461

1,3,5,7,9,17-20

8-4

471

1,3,5,7,13,15,17

8-5

482

1-4,6,7,13,14

9-2

511

1-13 odd

9-3

527

1,3,5,9,11

9-4

538

1,5,9,13

9-5

548

1,5,7

9-6

554

1,5