Applied Statistics

Subject Area
Credits 0.5
Home Learning
Moderate
Course Description

In Applied Statistics, students build statistical understanding through inquiry and student-driven, project-based methods. Students will make connections across curricular topics, including criminal justice, public health, and climate change. Students will be able to learn skills and vocabulary to support their analysis of that data. The course will encourage collaboration and communication as a means to both learn and share topics.

Learning Outcomes

This course will enable students to:

  • Use tools of single variable data analysis, including mean, median, mode, standard deviation, variance, and percentile to examine a distribution.
  • Use tools of two-variable data analysis, including regression techniques and correlation coefficient.
  • Select appropriate graphical representations of data, including boxplots, histograms, and scatterplots.
  • Be familiar with and utilize the fundamental concepts of probability.
  • Plan a study, use probability to anticipate data distributions, and draw inferences from one and two-variable data sets.
Assessment

This course will be project-based.

Grades
11,
12
Grading Scheme
Standards-based Course
The Student Experience

“A good intro class to statistics that is not very math heavy at all. Not too fast-paced and not much homework so as long as you do the work you'll do well.”
- Anonymous