Course Goals
Students will:
-
Learn to select statistical methods for collecting and/or analyzing data for statistical inference
-
Be able to use data analysis to describe patterns, trends, associations, and relationships in data
-
Explore random phenomena using probability and simulation
-
Develop how to argue or justify a conclusion from evidence using data, definitions and statistical inference
​​
The course is organized around the following foundational concepts of statistics:
-
Variation and distribution – Students will use graphs and numerical calculations to describe variations and patterns seen among given data.
-
Patterns and uncertainty – Using probability and reasoning students will recognize patterns in data and project sample data to larger populations. Students will also describe errors found in experiments or surveys and tell how that affects conclusions.
-
Data-based predictions, decisions and conclusions – Students will use tools to make predictions and describe relationships among data. These tools can include learning how to conduct a well-designed experiment, creating graphs of data and using statistical inference to draw conclusions.
​
Prerequisites
-
Students should have successfully completed the high school math sequence: Algebra 1, Geometry, Algebra 2.
Course Resources
Textbook and Homework
-
Required:
-
Statistics and Probability with Applications by Daren Starnes, Josh Tabor, and Luke Wilcox, 2025.
-
​
​Calculator
-
Required: a graphing calculator
​
Web Resources​
-
Zoom | a free teleconferencing application
​
Technical Resources​
-
Required for all students:​
-
A free phone/computer scanning app such as CamScanner or Adobe Scan
-