Course Syllabus
Math 219 Syllabus
Course Syllabus: Syllabus Math 219 Online Intersession 2019.pdf
Course Description:
Beginning course in statistics. Includes descriptive statistics, graphical displays of data, probability, confidence intervals, hypothesis testing, regression, contingency tables, ANOVA, and non-parametric statistics. Includes use of technology.
Textbook and Materials:
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Textbook "OpenStax Introductory Statistics" by Illowski and Dean (free download access, hard copy for purchase available) - https://openstax.org/details/books/introductory-statistics (Links to an external site.) Course Site on Canvas: https://rsccd.instructure.com Statistical Calculator. Recommended: StatCrunch.com |
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Scientific Calculator. Recommended: TI 36X-Pro Computer with access to the Internet |
Student Learning Outcomes:
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This semester we will be assessing the following student learning objectives: |
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. |
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Overall Percentage |
Grade |
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90.0 – 100.0% |
A |
|
80.0 – 89.9% |
B |
|
70.0 – 79.9% |
C |
|
60.0 – 69.9% |
D |
|
0.0 – 59.9% |
F |
Meet Your Instructor:
Professor Justin Tolentino
- Math teacher since 2006, SAC faculty since 2013, full-time since 2016
- B.A. and M.A. in Mathematics from California State University, Fullerton
- Proud resident of the city of Santa Ana
- Loves: math, travel, Disneyland, running, pasta, family
- Fears: spiders and insects, telephone conversations
- Excited for the opportunity to teach all of you!
Course Summary:
| Date | Details | Due |
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