American River College
Summer 2009
 

 

 

 

 

 


STAT 301: Introduction to Probability and Statistics                Instructor: Thomas Rutaganira

Section:           11496                                                               Office: H105

Class time:             In class: F 1:00-04:10PM                                                     Phone: 484-8585

                                Online:   MTWT 04:15-05:45PM

Location:               Ethan Way Room 150                                                           Email:rutagat@arc.losrios.edu

               

Prerequisites:        Math 120 (Intermediate Algebra) with a grade of “C” or better or placement through assessment process.

 

Text Book:             Elementary Statistics, 4th edition, by Larson & Farber

Calculator:             Required. A TI 83 or TI 84 is required for this class. In-class examples will be handled using a TI 83.

 

Attendance:           You are expected to attend every class meeting from start to end. You might be dropped from the class if you miss without valid justification one Friday class meeting. Only sickness of the student (with a doctor’s note) is considered a valid excuse. Those who come in class in order to be checked as present then leave the class a little after will be considered absent.

 

For scheduled absences, students should notify the teacher at least one week prior to the absence. For any other kind of emergency, the instructor should be notified either by phone, email or a note dropped in the instructor’s mailbox at ARC within 24 hours of the incident. In the event class has been missed, the student is responsible for all material covered during that class. There will be no makeup for homework not turned in that day, missed tests or missed quizzes. Only excused absences (with a doctor’s note) will have make-ups.

 

Homework:            Homework will be done mainly online at www.coursecompass.com. The course ID number is rutaganira47562. You need a MyMathLab access code in order to be able to do the online homework. Online homework should be done on or before the day shown on the syllabus.  Pencil-and-paper homework consists of chapter quizzes found at the end of each chapter in our textbook. They are practice exams and are due every Friday on which we will do an exam.

Online homework will count for 80% of your homework grade and on-paper homework will count for 20% of your homework grade. Changes on the due dates and/or on homework questions will be announced by the instructor either in class or online. You are expected to do all the assigned questions. In case you have not been able to solve a given problem, it is your responsibility to make sure you know how to do it either by asking the question in class during open question time, by seeking help from colleague students (for example posting the question on discussion board) or from tutors like those at the Learning Resource Center (LRC) on the main campus.

 

It is strongly advised to go through all the questions in your textbook even if they have not been assigned as homework. Doing more exercises increases your understanding of the class material and the building of your own solution methods.

 

 

Homework Extra credit:       Those who want can accumulate homework extra-credit points by submitting the answers to all or part of the chapter review questions at the same time they submit the answers to the corresponding chapter quiz. Each assigned question or sub-question of a chapter quiz is worth 1 homework point. Two extra questions from a chapter review are worth 1 homework point.

 

The following is a table of the point each chapter quiz is worth and the maximum number of extra points that can be gotten from the corresponding chapter review.

 

Chapter

Max points

Max Extra Credit

1

18

17

2

17

24

3

17

21

4

14

15

5

17

27

6

14

24

7

30

28

8

24

14

9

5

9

10

28

10

 

Exams:                   Ten online chapter exams, four in-class chapter exams using pencil-and-paper and a comprehensive final test will be given. The tentative dates for the chapter tests are:

Friday June 12, Friday June 19, Friday June 26, and Friday July 10. The final exam is on the following day and date: Friday July 17 during class time. It will be a multiple choice exam and an 882-E scantron will be needed.

Midterms can be rescheduled by the instructor provided a week notice is given to the students. The final exam cannot be rescheduled.

 

 

Class Material:                      We will cover the majority of the material chapters 1 - 10 of our textbook with the exception of chapter 9 in which we will cover only sections 9.1 and 9,2. It is strongly advised to read the class material ahead so that you can follow easily the lecture or ask what you did not understand.

 

 

Grade Policy:                         Your final grade on Stat 301 will be distributed as follows:

Homework:                              100

Online Chapter exams :           250

On-paper chapter exams:        250

Final:                                       200

 

The total of these four will be reduced to 100 (divide it by 8) and we will use the following letter grade:

 

A: 90%-100%

B: 80%-89.99%

C: 70%-79.99%

D: 60%-69.99%

F:   0%-59.99%

 

Additional Help:                            Students are encouraged to work in group. In fact, it is only when you can explain a concept to another person that you really understand it. However the work submitted for grading should be individual.

►Tutors are available at the Learning Resource Center (LRC) free of charge to you.

►You are also welcome to drop in my office anytime the door is open.

 

 

Classroom policies:             Disturbance and/or disruption of any kind in class (such as students talking to each other, making noise, moving around or in and out of the class during lecture, cell phones going off, …) will not be tolerated. If this happens to you, the first time you will be asked to leave the classroom for the day, the next time, disciplinary actions will be initiated. Questions in class should be directed only to the teacher. It is when the teacher tells you it is ok to do so that you can directly ask a question to a colleague student.

                                                Learning mathematics is a participatory activity, not that of a spectator. Students are strongly encouraged to participate in class as much as possible. Students are also expected to take notes in class. Notes, homework, quizzes and exams should be put in a well organized binder of the class. The teacher may request this binder from any student at anytime to check how they are doing.

Those students coming to catch up on their sleep, working on their homework (either for Stat 301 or for any other class), reading their newspaper, magazines or novels, … will be asked to leave the class. This will be counted as one class missed.

 

 

 

Important dates:                   See class schedule for more information.

                                                06/08/09:                 Class begins

06/18/09:                 Last day to enroll

06/12/09:                 Last day to drop qualify for enrollment fee refund.

06/19/09:                 Last day to petition for Credit/No Credit

06/19/09:                 Last day to drop without  notation on record.

07/07/09:                 Last day to drop with W grade

                                                07/17/09:                 Final day, Class ends

 

 

Class schedule:                    We will try to follow as closely as possible the following class schedule. The goal is to cover three sections per class meeting. In case we fall behind or advance a little faster, homework questions should be adjusted accordingly. For example if on 06/10/09 we cover sections 2.2, 2.3 and 2.4 instead of sections 2.3, 2.4, and 2.5 as indicated, you would work on exercises from sections 2.2, 2.3 and 2.4, not those indicated in the syllabus for 06/10/09. Although it is strongly advised to work on homework questions well ahead, you become responsible once the section(s) has (have) been covered in class.

 

 

Final Remark:     The instructor reserves the right to change part or all the content of this syllabus as he wishes in order to accommodate the needs of the class or the average student.

 

 

 

Date

Section

Topic(s)

06/08/09

1.1

1.2

An Overview of Statistics

Data Classification

06/09/09

1.3

2.1

Experimental Design

Frequency Distributions and their graphs

06/10/09

2.2

2.3

More Graphs and Displays

Measures of Central Tendency

06/11/09

2.4

2.5

Measures of Variation

Measures of Position

Chap 1 & Chap 2 Review + Quiz

06/12/09

 

Check prerequisites, Read Syllabus

Review Chapter1 and Chapter 2

Exam #1 : covers chap 1 and chap 2

06/15/09

3.1

3.2

Basic Concepts of Probability

Conditional Probability and the Multiplication Rule

06/16/09

3.3

3.4

The Addition Rule

Counting Principles

06/17/09

4.1

4.2

Probability Distributions

Binomial distributions

06/18/09

4.3

5.1

More Discrete Probability Distributions

Introduction to Normal distributions and the Standard Normal distribution

Chap3 & chap4 review + quiz

06/19/09

 

Review Chap 3 & Chap 4

Exam #2 : covers chap 3 and chap4

06/23/09

5.2

5.3

Normal Distributions: Finding Probabilities

Normal Distributions: Finding values

06/23/09

5.4

5.5

Sampling Distributions and The Central Limit Theorem

Normal Approximation to Binomial Distributions

06/24/09

6.1

6.2

Confidence Intervals for the Mean (Large Samples)

Confidence Intervals for the Mean (Small samples)

06/25/09

6.3

6.4

Confidence Intervals for Population Proportions

Confidence Intervals for Variance and Standard Deviation

Chap 5 & Chap 6 Review + Quiz

06/26/09

 

Review Chap 5 & Chap 6

Exam #3 : covers chap 5 and chap 6

06/29/09

7.1

7.2

Introduction to Hypothesis Testing

Hypothesis testing for the Mean (Large samples)

06/30/09

7.3

7.4

Hypothesis Testing for the Mean (Small samples)

Hypothesis Testing for Proportions

07/01/09

7.5

8.1

 

8.2

Hypothesis Testing for the Variance and standard Deviat.

Testing the difference Between Means (Large Independent Samples)

Testing the difference between Means (Small Independent samples)

07/02/09

8.3

 

8.4

 

Testing the Difference Between Means (Dependent Samples)

Testing the Difference between Proportions

Chap 7 & Chap 8 Review + Quiz

07/06/09

9.1

9.2

Correlation

Linear Regression

07/07/09

10.1

10.2

Goodness of Fit

Independence

07/08/09

10.3

10.4

Comparing two variances

Analysis of Variances

07/09/09

 

Overall Review + Catch up

07/10/09

 

Review Chap9 and Chap10

Exam #5 : covers chap9 and chap10

07/13/09

 

Overall Review + Catch up

07/14/09

 

Overall Review + Catch up

07/15/09

 

Overall Review + Catch up

07/16/09

 

Overall Review + Catch up

07/17/09

 

Final exam