Syllabus

I reserve the right to make changes to the syllabus

Description

Math 13 Introduction to the theory and practice of statistics. Visualizing data: graphs and histograms. Describing data: measures of location, spread, and correlation. Probability theory and random variables; binomial and normal distributions. Drawing conclusions from data: confidence intervals; hypothesis testing z-tests, t-tests. Regression.

Upon completion of this course, students will:

  1. Find and evaluate statistical information in discussions and presentations
  2. Use statistical procedures and standard techniques in data gathering, summary, and presentations.
  3. Interpret data sampling and inferential statistics (hypothesis testing and confidence intervals.)
  4. Describe the rules of probability and the role of probability distributions such as the Binomial, Normal, and various other models.

Computer Access

You must have regular access to the web outside of class for reading the online interactive text, taking online quizzes, and using links to statistical computation.

Online Text: Open Learning Initiative (OLI)

Course Packet (book)

Scientific Calculator

Class Style

Homework Assignments

There are three types of homework assignments:

Grading Structure

Your course grade is based on homework, in-class participation, midterm exams, and a comprehensive final exam. The percentage breakdown for each component is as follows:

Your final grade will be determined according to the following scale:

Exams

Extra Credit

Tutoring at BCC

Free math tutoring is available at the Learning Resource Center (LRC) in Room 112 (Mon-Th, 9:00am-8:00pm; Fri 9:00am-4:00pm; Sat 10:00am-4:00pm). Please make appointments in advance at the front floor.

Attendance Policy

Dropping the course

There are no incomplete grades. The instructor may elect to drop you from the class if you miss more than six days of class. However, it is your responsibility to officially drop the course should you decide to do so, otherwise you may receive an F. The drop deadline for this semester is November 15th.

Email Policy

Cheating Policy

Do your own work. Collaborating on homework is fine—but copying is not, nor is having somebody else submit assignments for you. Cheating is a very serious offense that I will not tolerate. If you are caught cheating on a homework assignment or during a test I will give you an F.

Disabilities

Students with learning and/or physical disabilities can register in the PSSD office on the 2nd floor. You may be entitled to extra time for test-taking and other services. You can register any time during the semester, but entitlements are not retroactive.

Student Learning Outcomes

Upon completion of this course, students will:

  1. Find and evaluate statistical information in discussions and presentations
  2. Use statistical procedures and standard techniques in data gathering, summary, and presentations.
  3. Interpret data sampling and inferential statistics (hypothesis testing and confidence intervals.)
  4. Describe the rules of probability and the role of probability distributions such as the Binomial, Normal, and various other models.

Justification for the Course

Satisfies the General Education and Analytical Thinking requirement for Associate Degrees. Provides foundation for more advanced study in mathematics and related fields. Satisfies the Quantitative Reasoning component required for transfer to UC, CSUC, and some independent four-year institutions. Acceptable for credit: CSU, UC. AA/AS area 4b, CSU area B4, IGETC area 2A.

Mrs Mutner's Rules