Prerequisites
Have a foundation in algebra, geometry, trigonometry, analytic geometry, elementary functions
Grade Level
G11-12
Teacher Info
Mr. Paul Olaniba
Mr. Paul Olaniba is a high school teacher who has taught for more than five years in three different countries. Currently, he teaches Math and AP Economics at St Mary's Guiyang.
He previously taught at a high school in Shenzhen and Nanchang, China. He studied Accounting, Information Systems, and Finance at the European University of Lefke in Cyprus. He currently has three years of teaching experience in China. His teaching philosophy is to maintain a very engaging, friendly, and supportive classroom so that school becomes a joyful place for everyone to learn. In his spare time, he loves to explore his environment and spend time with his family.
Course Syllabus
The course content is organized into commonly taught units. On completion of the course, students should be able to:
1. demonstrate an understanding of the following:
- Exploring One-Variable Data
- Exploring Two-Variable Data
- Collecting Data
- Probability, Random Variables, and Probability Distributions
- Sampling Distributions
- Inference for Categorical Data: Proportions
- Inference for Quantitative Data: Means
- Inference for Categorical Data: Chi-Square
- Inference for Quantitative Data: Slopes
2. use qualitative and quantitative skills and strategies to develop solutions to the problems
3. write reports and which address the question(s), which are supported with researched, referenced evidence;
4. point out, understand, and take notes on the main ideas and key details when listening to lectures and presentations;
5. participate actively in the discussions about the topic or subject skills developed in this subject.
6. Design data collection plans, analyze data appropriately, interpret and draw conclusion.
7. communicate effectively.
Course Overview and Design
AP Statistics is an introductory college-level statistics course that introduces students to the major concepts and tools for collecting, analyzing, and drawing conclusions from data. Students cultivate their understanding of statistics using technology, investigations, problem solving, and writing as they explore concepts like variation and distribution; patterns and uncertainty; and data-based predictions, decisions, and conclusions.