Grading:

points

Scale:

90% +

810 + pts

A

Homework

75

80% – 90%

720 – 809pts

B

Group Work/Participation

50

70% – 80%

630 – 719pts

C

 Quizzes

50

60% – 70%

540 – 629pts

D

Project 1

50

0% – 60%

0 – 539 pts

F

Project 2

50

Exam 1

125

Exam 2

125

Exam 3

125

Final Exam

250

Wednesday, May 30^th

900

points

Grades:

A student’s overall/final grade is based upon total points earned and is determined by the scale above.  Grades and points are available online in Canvas.  Please note when using Canvas to check grades, if the box on the right that says “Calculate based only on graded assignments” you will get an approximate grade.  This is appropriate during the semester.  To get an accurate grade at the end of the semester, the overall/final grade, be sure to uncheck this box.

Prerequisite:

Successful completion of Math 080/081 or Math 83/84 or Math 140 or equivalent skills (as measured by a satisfactory score on the Math Level 3 exam in combination with a course equivalent to Math 080 or 140)

Homework:

Homework will be due online by 7:15 pm nearly every Monday and/or Wednesday.  Homework will be done online at https://portal.mypearson.com/login. To register for this course use course ID: mcwilliams88703.

Late homework will be accepted up until the day of the exam with a 30% penalty on only the late portion. 

We will cover at least 39 sections from the book and each section covered will have a corresponding homework assignment worth 2 points. 

Homework is for your benefit!  It is assigned to help your learn and explore the topics and to improve your understanding of statistics.

Media Assignments:

Before attending class you are expected to have completed the online media assignment, thus they are due nearly every Monday and Wednesday by 5:00 pm.  These assignments are online through MyStatLab at https://portal.mypearson.com/login.  These assignments may involve watching several videos and answering short questions about the video.  Furthermore, these assignments are prerequisites for the homework assignments.

No points are earned in completing the media assignments, but knowledge and preparedness will be gained.

Participation:

You are expected to come to class well prepared (having readings and assignments complete) and ready to discuss the subject.  All students will be expected to come to the board and share their work (or just help me), answer and ask questions, as well as do in class assignments with others.

Group Work:

When time permits, you will be given problems so that you can practices and explore the concepts just covered.  These problems may or may not be turned in.  If they are turned in then only one paper per group is to be turned in.  Groups should consist of 3 – 4 students.  You may select your own groups, but the instructor may assign individuals to different groups in an effort to improve the effectiveness of these learning activities.  Group assignment papers with only one name on them will not be graded.

Quizzes:

There will be at least five (5+) quizzes worth between seven (7) and fifteen (15) points each.  Quizzes can be at any time of class.  Therefore, it is important you come to class on time with the homework and readings complete.  No make-up quizzes will be given.  Thus, you need to be on time to all class meetings.  Calculators or computers with statistical software will be allowed, but no cell-phones or other electronic devices will be permitted. 

Quizzes may consist of multiple choice problems (Accuscan will NOT be required), matching, fill in the blank, short answer, calculations, graphing, and or problems were all work and reasoning must be shown.

Projects:

There will be two (2) projects assigned during the semester.  These projects will allow students to practice analyzing data using technology, using statistical procedures, and developing reasoning skills.  The two projects will be worth in total one-hundred (100) points.  Projects should be typed, using proper English/grammer, with complete sentences and paragraphs as necessary to demonstrate your procedure, reasoning, and conclusion.

Exams:

There will be three (3) exams given on the scheduled day.  Each exam will have 125 possible points.  When you are finished hand in your exam and show a picture ID and then you may quietly leave.  No talking will be tolerated.  Calculators or computers with statistical software will be allowed, but no cell-phones or other electronic devices will be permitted. 

Exams may consist of multiple choice problems (Accuscan/AS 100 will be required), matching, fill in the blank, short answer, calculations, graphing, and or problems were all work and reasoning must be shown.

No make-up exams will be given.  If you know that you will be unable to attend you must contact the instructor before the exam to make other arrangements.

If you need to leave the room during an exam you must leave a cell phone with the instructor until your return.

Final Exam:

The final exam is comprehensive!  There will be 250 points possible on the final exam.  Absolutely no make-ups for the final exam will be administered!  The structure of the final exam will be discussed at the appropriate time.

Attendance:

Attendance is very important.  You should plan on attending every class meeting.  If you will be unable to attend a class you should attempt to contact me.  Furthermore, you should attempt to contact a fellow student for class notes.  If you have more than 3 unexcused absences you may be dropped from the course.  However, it is your responsibility, as a student, to drop the course if you do not plan on completing the course.  If you are not making satisfactory progress on homework or have multiple poor test scores you will be consulted and if the problem persists you may be dropped.

General Notes:

Come to class every day and be prepared.  Do not try to rush through your homework.  To truly learn and remember what you've learned do some studying every day.  The more effort you put into the class the more you will learn and the better your grade will be.  If you are struggling seek help immediately.  It is recommended that you seek the assistance of your instructor first, but use all available resources.  The Math Center offers free tutoring with registration in a no fee course.

If the instructor misses a day you are still responsible for the material that was to be covered.  We have a great deal of information to cover so you must remain up to date on all assignments and readings.  If something is on this syllabus and it's not covered in class it is still your responsibility to learn and know the material.

This is a four (4) unit math course and are therefore expected to spend twelve hours or more (12+) per week outside of class studying and doing homework.

Classroom Conduct:

Talking while the instructor is lecturing is not acceptable.  Keep your cell phones off or in silent mode and do not use them in class for non-academic purposes or they will be confiscated until the end of class.  If you are caught using a computer for non-academic or dishonest purposes during class time you will lose five (5) points on the first offense.  On the second offense you will lose all possible points for the day (homework, group work, quiz, exam, project), a minimum of 5 points.  On a third offense you will be dropped.

Please be considerate of your fellow students. 

Class Website:

https://rsccd.instructure.com

Follow the instructions on the screen to log in.  Once logged in, you will be able to find the syllabus, PowerPoint presentations, homework assignments, quiz and test solutions, grades.  You will be able to post homework or other questions in the discussion forum, and other useful stuff.

https://portal.mypearson.com/login

Follow the instructions on the screen to log in.  Once logged in, you will be able to do homework assignments, view the book, look at media files, and find other resources. 

Academic Integrity:

Santa Ana Community College has no tolerance for cheating.  All work turned in is expected to be yours.  Anyone caught cheating will have the incidence noted in their academic record.  Consequences can range from a zero (0) on the assignment to a failing grade in the class or expulsion from the school.  For the school's complete policy see the school catalog or current class schedule.

Learning Outcomes:

Throughout the semester, your performance on multiple student learning outcomes will be evaluated.  These are skills for which all students who successfully complete this course should be able to demonstrate proficiency.  The outcomes which will be assessed include--but are not necessarily limited to

1) By the end of the semester students will correctly interpret a graphical display of data.

2) By the end of the semester students will take a statistical claim about a data set, perform an     appropriate procedure, and write a conclusion that addresses that claim.

Disabled Students:

Your success in this course is important to me.  Santa Ana College and I are committed to providing reasonable accommodations for all individuals with disabilities. If you have a disability that may have some impact on your ability to do well in this course, I encourage you to speak with me as soon as possible.  Also, please contact Disabled Student Programs & Services so that we can all collaborate on your classroom accommodations in a timely manner.  DSP&S is located in U-103 and their phone number is (714)564 – 6264.  The DSP&S office requires documentation of your disability in order to receive reasonable accommodations. If you do not have documentation they will work with you to acquire it. I look forward to supporting you to meet your learning goals.

Drop Deadline:

Sunday, February 18, 2018

Without a “W” and a refund

Monday, February 19, 2018

Without a “W” no refund

Sunday, May 6, 2018

With a “W”

Add Deadline:

Sunday, February 18, 2018

Add code required

Pass/No Pass Deadline:

Friday, February 23, 2018

Students have the option of taking this course for a Pass/No Pass instead of a regular letter grade.  Since this is a transferable math course, you should contact the schools you plan on transferring to in order to determine if this is acceptable.

Final Exam:

Wednesday, May 30, 2018  from 7:15 – 9:20 PM

Disclaimer:

Everything written here is subject to change if the instructor deems it necessary.

Math 219 - tentative  schedule - Spring '18 - McWilliams

Day of Class

Sect.

Topics

Mon

5-Feb

1.1

Introduction to the Practices of Statistics

1.2

Observational Studies vs Designed Experiments

1.3

Simple Random Sampling

1.4

Other Effective Sampling Methods

1.5

Bias in Sampling

1.6

The Design of Experiments

Wed

7-Feb

Class Canceled!

Mon

12-Feb

2.1

Organizing Quantitative Data

2.2

Organizing Quantitative Data: The Popular Displays

Wed

14-Feb

2.3

Additional Displays of Quantitative Data

2.4

Graphical Misrepresentations of Data

Mon

19-Feb

Holiday!

Wed

21-Feb

3.1

Measures of Central Tendency

3.2

Measures of Dispersion

Mon

26-Feb

3.3

Measures of Central Tendency and Dispersion from Grouped Data

3.4

Measures of Position and Outliers

Wed

28-Feb

3.5

The Five-Number Summary and Boxplots

Mon

5-Mar

4.1

Scatter Diagrams and Correlation

4.2

Least-Squares Regression

Wed

7-Mar

Review

Mon

12-Mar

Exam 1 Chapters 1 - 4

Wed

14-Mar

5.1

Probability Rules

5.2

The Addition Rule and Complements

Mon

19-Mar

5.3

Independence and the Multiplication Rule

5.4

Conditional Probability and the General Multiplication Rule

Wed

21-Mar

6.1

Discrete Random Variables

6.2

The Binomial Probability Distribution

Mon

26-Mar

7.1

Properties of the Normal Distribution

7.2

Applications of the Normal Distribution

Wed

28-Mar

7.3

Assessing Normality

Mon

2-Apr

Spring Break!!!

Wed

4-Apr

Mon

9-Apr

Exam 2 Chapters 5 - 7

Wed

11-Apr

8.1

Distribution of the Sample Mean

Mon

16-Apr

8.2

Distribution of the Sample Proportions

Wed

18-Apr

9.1

Estimating a Population Proportion

Mon

23-Apr

9.2

Estimating a Population Mean

Wed

25-Apr

10.1

The Language of Hypothesis Testing

Mon

30-Apr

10.2

Hypothesis Tests for a Population Proportion

Wed

2-May

10.3

Hypothesis Tests for a Population Mean

Review

Mon

7-May

Exam 3 Chapters 8 - 10

Wed

9-May

11.1

Inference about Two Population Proportions

11.2

Inference about Two Means: Dependent Samples

Mon

14-May

11.3

Inference about Two Means: Independent Samples

Wed

16-May

12.1

Goodness-of-Fit Test

Mon

21-May

12.2

Test for Independence and the Homogeneity of Proportions

Wed

23-May

13.1

Comparing Three or More Means (One-Way ANOVA)

Mon

28-May

15.1

An Overview of Nonparametric Statistics

Review

Wed

30-May

Final Exam (Comprehensive)