This course is designed to provide students with a comprehensive introduction to the major concepts and tools of statistics, including data collection, analysis, and interpretation. The course covers four main themes: exploring data, sampling and experimentation, probability and simulation, and statistical inference.
In the exploring data theme, students will learn the basics of descriptive statistics, such as measures of central tendency and variability, and graphing data using appropriate techniques. They will also learn how to use these tools to summarize and describe data sets and identify patterns and outliers in data.
- Improved understanding of the major concepts and tools of statistics, including data collection, analysis, and interpretation.
- Increased ability to summarize and describe data sets, identify patterns and outliers in data.
- Greater understanding of different types of sampling, including random sampling, stratified sampling, and cluster sampling, as well as the importance of experimental design.
- Stronger grasp of probability, including probability distributions and the laws of probability.
- Improved ability to use computer simulations to model complex systems and make predictions.
- A greater understanding of statistical methods, such as estimation and hypothesis testing, and the ability to use them to make inferences about a population.
Students and their parents will receive brief feedback after each class, via Teachworks, regarding the student’s general participation in class. Students will also receive feedback on graded assignments via email. At the end of the course, the student will receive a final report card, which thoroughly speaks to their overall participation in the course, including major assignments.