Indian River Community College

Spring Term, Jan 7, 2008 – Apr 30, 2008
 

COURSE SYLLABUS

Applied Statistics M 5:30 pm - 8:00 pm Room B106

112896 Section 002  STA2023 Chastain Campus B/106 01/07/08 04/30/08 5:30 PM - 8:00 PM   

General Information Link to Outline Update: 2/20/08

Course number: 

STA2023

Reference number:

112896

Credit/Contact hours 

3-0-3

 

Instructor Information

Professor name: 

 Ron Mower (Ronald L.), Department of Mathematics

Professor telephone: 

 (561) 745-6986

Professor e-mail: 

 ronmower@bellsouth.net

Professor Web Site: 

 http://ronmower.com/

Textbook: Introductory Statistics, Sixth Edition by Prem S. Mann, Wiley Publishers. ISBN: 0-471-75530-3

Calculator: You will need a calculator TI 30 X II S or B.  A graphing calculator is encouraged. A TI-83 Plus or above (Ask me)

Course Description:   Chapters 1, 2, 3, 4, 5, 6, 7, 8, 9, 13.  This course includes summarizing data using pictorials as well as computational techniques, probability of discrete and continuous variables, using the central limit theorem to relate statistics to parameters of a population, using confidence intervals, hypothesis testing, and using computer software to practice, analyze, and verify skills learned throughout the course.

Course Objectives:  The student will:

1.  summarize and interpret data using pictorial as well as computational techniques.   

2.  determine probabilities of various discrete and continuous random variables.

3.  use the Central Limit Theorem to relate sample statistics and population parameters.

4.  determine confidence intervals.

5.  perform hypotheses testing.

6.  use the computer to help understand Statistics.

Grade:  Grading Scale:A(90-100%); B(80-89%); C(70-79%); D(60-69%); F(0-59%)

Quiz (on line)............20% Quizzes: Wileyplus.com - URL for this course - http://edugen.wiley.com/edugen/class/cls00000/  (Need to get last 5 digits of URL from me)
Tests  . . . . . . . . . . .60% (Absolutely no MAKEUPS for any reason for a missed Quiz/Test/Exam*)
Final Exam.  . . . . . .20% (Absolutely no MAKEUPS for any reason for a missed Quiz/Test/Exam*)

Start preparing for the FE on day 1 by attending all classes, paying attention & doing all HW.


Late assignment policy
Assignments for each chapter/sections should be completed on or before the day of the test covering the corresponding chapter/sections.  If you do not complete your homework assignments in a timely manner, it will be difficult to pass the tests.  Assignments received after the appropriate test dates will receive a maximum ˝ credit.  Assignments are due when you turn in your test.

 

Make-up exam policy
Absolutely no MAKEUPS for any reason for a missed Quiz/Test/Exam*.
  The final exam grade will be duplicated in that slot.  Excused absences will be granted only for substantiated emergencies.  Collaboration with others is allowed on homework and in class work, but not on tests or exams.  To accommodate students who must miss a test for a substantiated emergency, your Final Exam score will be duplicated in the (1 only) missed test slot.  For students taking all tests, your Final Exam score will replace your lowest test score if your Final Exam score is higher.  If your Final Exam score is not higher than your lowest test score, your test scores will remain the same.  The Final Exam still counts and no grades are dropped.

Absolutely no MAKEUPS for any reason for a missed Quiz/Test/Exam*.  *If a second Quiz/Test is missed or a final exam is missed and the reason is a DOCUMENTED (by the student in detail) emergency of a serious nature such as an accident or death in the immediate family, the instructor could use the average of the tests taken, or some other method at the discretion of the instructor.  If the reason is not of a serious enough nature, the student will receive a zero.

Math Lab 
It is highly suggested that students spend as many hours as possible in the Math Lab. The staff of the Math Lab is always available for assistance with the course assignments. In addition, there is a multitude of resources, which will be most helpful for your successful completion of this class. 

Attendance

Students are expected to attend all courses and course activities for which they are registered. Any class meeting missed, regardless of cause, reduces the opportunity of learning and may adversely affect a student’s achievement in the course.   An accurate record of attendance will be kept for each course. 

 

Students leaving early will be marked absent for the time absent.  If you know you must leave early for a good reason, notify the instructor before class of the good reason (unless it is an emergency that happens during class...notify your instructor the next class).  Leaving early for a non-emergency reason is rude and distracting to other students and the instructor.  However, if you notify your instructor before class or if it is due to an emergency that happens during class, it will not be rude.
 

Academic Dishonesty
Academic dishonesty includes the following actions, as well as other similar conduct aimed at making false representation with respect to the student’s academic performance:
(1) Cheating on an exam, (2) Collaborating with others on work to be presented, if contrary to the stated rules of the course, (3) Submitting, if contrary to the rules of the course, work previously submitted in another course, (4) Knowingly and intentionally assisting another student in any of the above actions, including assistance in an arrangement whereby work, classroom performance, examination, or other activity is submitted or performed by a person other that the student under whose name the work is submitted or performed, (5) Plagiarism.

Classroom Etiquette and Student Behavior Guidelines Behavior
Students will demonstrate respect for instructors and fellow students.  Behavior that is disruptive to a positive learning environment reported by the instructor will result in a warning on the first instance; the second instance will be worse.
 

Disability Support Services

Students with disabilities are advised, in compliance with federal and state laws, that accommodations and services are available through the office of Disability Support Services.  It is the student’s responsibility to contact Disabled Student Services Advisors at this location and to submit appropriate documentation prior to receiving services.


B106
NOTE:
With notification to you, this schedule can and will probably get some changes - for updates, go to

http://www.ronmower.com/zinstructor/instructor_schedule.htm

week

class

day/date
Pink Get  Blue Optional

topic

homework
 - do the odd numbered exercises 1, 3, 5, ...only

1

 

 

Mon 01/07/08
 

Chapter 1. Introduction; 1.1 What Is Statistics?
1.2 Types of Statistics.
1.3 Population versus Sample.
1.4 Basic Terms.

1.5 Types of Variables.

1.6 Cross-Section versus Time-Series Data.

1.7 Sources of Data.
1.8 Summation Notation.

1.1>p

1.2>p
1.3>p

1.4>
p

1.5>p

1.6>p
1.7>p

1.8>
p

2

 

Mon 01/14/08
 

Chapter 2. Organizing and Graphing Data; 2.1 Raw Data.

2.2 Organizing and Graphing Qualitative Data.

2.3 Organizing and Graphing Quantitative Data.

2.4 Shapes of Histograms.

2.5 Cumulative Frequency Distributions.

2.6 Stem-and-Leaf Displays.
2.7 Dotplots.

Short Test 1 on Chapter 1

2.1>p

2.2>p

2.3>p

2.4>p
2.5>p

2.6>p

2.7>p

 off

 off

Mon 01/21/08 off

 off

 

3

 

Mon 01/28/08
 

Chapter 3. Numerical Descriptive Measures.

3.1 Measures of Central Tendency for Ungrouped Data.
3.2 Measures of Dispersion for Ungrouped Data.
3.3 (Do not do) Mean, Variance, and Standard Deviation for Grouped Data.

3.1>p
3.2>p

3.3>Do not do
 

4

 

 

Mon 02/04/08
Test2 Ch 2, 3  - 10th Ed
Ch2&3 - Sol
Ref 123

3.4 Use of Standard Deviation.

3.5 Measures of Position.

3.6 Box-and-Whisker Plot.

Review

3.4>p

3.5>p
3.6>p

5

 

 

Mon 02/11/08

 

Chapter 4. Probability - handout
Test 2 Chapters 2 & 3

 

TBA

 

6

 

 

 

Mon 02/18/08

 

Probability continued - handout

Chapter 5. Discrete Random Variables and Their Probability Distributions.

5.1 Random Variables.

5.2 Probability Distribution of a Discrete Random Variable.

 

5.1>p
5.2>p

7

 

Mon 02/25/08

5.3 Mean of a Discrete Random Variable.

5.4 Standard Deviation of a Discrete Random Variable.

5.5 Factorials, Combinations, and Permutations.
5.6 The Binomial Probability Distribution.
Review

5.3>p
5.4>p

5.5>p
5.6>p

8

 

Mon 03/03/08

Chapter 6. Continuous Random Variables and the Normal Distribution.

6.1 Continuous Probability Distribution.

6.2 The Normal Distribution.
Test 3 Chapters 4 & 5

6.1>p
6.2>p
 

9

 

Mon 03/10/08

6.3 The Standard Normal Distribution.

6.4 Standardizing a Normal Distribution.
6.5 Applications of the Normal Distribution.
6.6 Determining the z and x Values When an Area Under the Normal Distribution Curve Is Known.
6.7 The Normal Approximation to the Binomial Distribution.

6.3>p
6.4>p
6.5>p
6.6>p
6.7>p

10

 

Thur 03/17/08

Chapter 7. Sampling Distributions; 7.1 Population and Sampling Distributions.

7.2 Sampling and Non-sampling Errors.
7.3 Mean and Standard Deviation of.

7.4 Shape of the Sampling Distribution of.

7.5 Applications of the Sampling Distribution of.

7.2>p
7.3>p
7.4>p

7.5>p

11

 

Mon 03/24/08
Last day to
 withdraw March 28

7.6 Population and Sample Proportions.

7.7 Mean, Standard Deviation, and Shape of the Sampling Distribution of.
7.8 Applications of the Sampling Distribution of.

7.6>p
7.7>p

7.8>p

 off

 off

Mon 03/31/08 -  off

 Spring Break Mar 31 - April 4

 

12

 

Mon 04/07/08

Chapter 8. Estimation of the Mean and Proportion.

8.1 Estimation: An Introduction.

8.2 Point and Interval Estimates.

8.3 Estimation of a Population Mean: _ Known.
Test 4 Chapters 6 & 7

8.1>p
8.2>p
8.3>p

13

 

Mon 04/14/08

8.4 Estimation of a Population Mean: _ Not Known.

8.5 Estimation of a Population Proportion: Large Samples.
Chapter 9. Hypothesis Tests About the Mean and Proportion.

9.1 Hypothesis Tests: An Introduction.

9.2 Hypothesis Tests About the Mean, Sigma Known.
9.3 Hypothesis Tests About the Mean, Sigma Not Known.
9.4 Hypothesis Tests About a Population Proportion: Large Samples

8.4>p

8.5>p
9.1>p
9.2>p

9.3>p
9.4>p

14

 

Mon 04/21/08

13.1, 13.2, 13.6 Linear Regression
Review

13.1>p
13.2>p
13.6>p

15

 

Mon 04/28/08
Final  Exam

Final Exam Mon 04/28/08 (regular time)

Grades due by instructor: Wednesday, April 30 at 8 pm

     

Optional
 

 

 

Quizzes: Wileyplus.com - URL for this course - http://edugen.wiley.com/edugen/class/cls00000/   These must be done on time (dates on Web)
-Due dates on WP quizzes: WP Q1, 2, 3: Feb. 5th; WP Q 4, 5 Feb. 28th; WP Q 6, 7 Mar. 25th; WP Q 8, 9  April 24th.

-All new textbooks come with an access code for the WileyPlus computer component of this course.  In order to register into the class, you will use your access code that came with the book and the course URL provided by your instructor.

-Go to this website to register into the WileyPlus program.

-After initially enrolling using your access code, you will need to use either:

a) this URL or

b)  you can go to  www.wileyplus.com, and enter your logon and password

in order to get into the program and begin working on your assignments.

-Within WileyPlus you will find everything from your text (ebook), self-review quizzes for each chapter, video clips for some sections, solutions to odd problems, and many other resources. 

-A mandatory part of this course will be the completion of a “WP Quiz” for each chapter.  You will  find the chapter quizzes within the ‘Assignments’ area in WileyPlus (ex.  WP Quiz 1).  A reading assignment will be provided but will not count as points-you may do this online or from your textbook.  A quiz for each chapter will be available-these 120 total points (20% of your grade).