MATH 13 [B20]: Elementary Statistics (24900) 

SEMESTER:                Spring  2023     Feb 13, 2023 – May 27, 2023

INSTRUCTOR:           Arash Farahmand             

OFFICE HOURS:      Monday, Wednesday 12-1 pm (email before) (https://meet.google.com/ujx-pgvh-zkt) 

EMAIL:                       afarahmand@peralta.edu

LEARNING RESOURCES

•  TEXTBOOK: Introductory Statistics by Illowsky, Barbara and Dean, Susan; this text is freely available at https://openstax.org/details/books/introductory-statistics. The HTML version of the text is best for studying on the web, but you may also like to download the PDF for offline studying.
• CANVAS - BCC Website

CATALOG DESCRIPTION

Introduction to the theory and practice of statistics. Collecting data: sampling, observational and experimental studies.  Organizing 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.

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.

STUDENT LEARNING OUTCOMES

Upon successful completion of this course, a student will meet the following outcomes:

1. 1. Representation: Represent relevant information in various mathematical or algorithmic forms. (conversion of words to mathematical symbols and graphs)
   2. Calculation: Calculate accurately and comprehensively.
   3. Interpretation: Interpret information presented in mathematical or algorithmic forms. (for example, interpretations of equations, graphs, diagrams, tables)
   4. Application/Analysis: Draw appropriate conclusions based on the quantitative analysis of data, while recognizing the limits of this analysis. (problem solving)
   5. Communication: Explain quantitative evidence and analysis. (conversion of mathematical symbols and graphs to words)

ASSESSMENT TASKS AND GRADING

ADDITIONAL INFORMATION/ RULES 

VIDEO LECTURE & HOMEWORK

Participation (20%): Your online contributions to your learning and learning of others - responses and hints to other students' questions, discussions, etc. This is on Discussions on Canvas.

Homework (60%): Due Tuesdays and Fridays. You upload a single pdf for each homework assignment on Canvas. If the file you upload is unreadable, then it will receive a score of 0. It is very important to keep up with your homework and the lecture material covered that day. Practicing a lot of problems is one way to succeed in this course. Use camscanner app to scan your homework as a pdf and upload on Canvas. No late homework can be accepted. Only one or two of the problems are fully graded. All solutions that you submit must be your own work and must not be copied from somewhere else. A solution that is blatantly copied from another source will receive zero credit. There will be serious consequences for repeat offenders. You are allowed to discuss the homework problems with other students, but if you do this, you must list at the top of your homework the names of any collaborators. If you used sources besides the textbook, you must list those as well. 

Final Exam (20%): There is one comprehensive final exam at the end of the semester. There is no make-up for any exam and in-class activity that you miss due to an unexcused absence.

Grading: All assignments and exams will be cumulative. Each assignment score is one of the following:

[3] perfect (no mistake)

[2] minor mistake(s)

[1] major mistake(s)

[0] nothing is correct

While it may seem that a score of 2 out of 3 (about 67\%) is a D, this is actually a good score. At the end of the term, I will curve the grades.

Late work policy: NO LATE ASSIGNMENT OR MAKE-UP EXAM WILL BE ACCEPTED, no matter the reason. Missed assignments/tests count as 0 score.

 Schedule: We meet online on the homework forum on Canvas' Discussions. Homework is due every Tuesday and Friday.
Other than the comprehensive final examination to be given during the final week of classes, all meetings are online.
While there is no particular time of the day when students must be present, active and daily participation is an integral part of the course and a part of the grading scheme.
The course offers a flexible schedule. You do not have to be present at specific hours. However, there are homework deadlines and you need to commit to working on the course and you are expected to contribute to a discussion several times a week. Most students need between 5 to 8 hours per lesson - for most lessons. This includes all: interacting with the video lecture, analyzing the notes, thinking and working on homework problems, and sharing ideas on the forum. The course carries four semester units. There are 2 lessons per week.

IMPORTANT DATES TO REMEMBER

January 23  Day and Evening Instruction Begins
January 29  Last Day to Add Classes
February 5  Census Day, Instructors Verify Enrollment
February 20  President Holiday - No Class
February 10  Last Day to File for PASS/NO PASS Grading Option
March 17  Last Day to File Petitions for AA, AS Degree or Cert.
March 27 - April 2  Spring Recess - No Class
April 28  Last Day to withdraw and Receive A ``W''
May 22 Final Exam

Disability policy: Berkeley City College is committed to providing reasonable accommodations for all individuals with disabilities. This syllabus and the course materials are available in alternate formats upon request. If you have a disability that may have some impact on your work in this class and for which you may need accommodations, please see a staff member in Programs \& Services for Students with Disabilities (PSSD) to request accommodations. For students that receive accommodation letters, please meet with me to discuss academic arrangements as early in the term as possible. PSSD can be located in Room 261 of the Center Street campus or by phone at (510) 981-2812 or 2813.

Tutoring at BCC: Free math tutoring is available at the Learning Resource Center (9-6 p.m., Mon-Fri) in Room 113. Drop by to schedule an appointment in person or schedule by phone, (510) 981-2971. Earlier in the day appointments are more likely to involve one-on-one tutoring.

Former foster youth: We are making a special effort to support foster youth at BCC. If you are a former foster youth you may qualify for scholarships and services to help you achieve your educational goals. You can contact Jennifer Ajinga directly (Room 349, Email: \url{jajinga@peralta.edu}) for more information.

Getting help from classmates: Working with others has advantages. It can keep you motivated. In addition, talking can build deeper understanding and help ideas stick. But there is a difference between working with someone else and letting somebody else do your work for you. The former is collaboration; the latter is cheating and cheating you of your education. When you work with others, what you eventually produce should be yours. Your work should reflect your understanding and be written in your own words. Always make sure that your collaboration with others is promoting your learning, not undermining it.

(Note: According to BCC policy, dishonesty, such as cheating, plagiarism, or knowingly furnishing false information to the college, is grounds for disciplinary action and suspension. See pages 301-317 of the 2013-2015 BCC catalog.