Ever wonder how pollsters predict election outcomes or how scientists draw conclusions from experiments? Curious about how to decipher the patterns in financial markets or understand the trends in social behavior? In this course, students will demystify the world of statistics allowing them to interpret data to draw conclusions and use those conclusions in decision-making.
This course is designed to provide students with an understanding of descriptive statistics, and an introduction to inferential statistics, and probability theory. Students will explore topics that include one-variable data, two-variable data, data collection, normal distributions, probability theory, and an introduction to random variables including binomial and geometric distributions. There is a strong emphasis on real-world applications of statistics in which students will examine how data analysis and the likelihood of events can influence the decisions they make in their everyday lives.
This semester-long statistics course will engage students through hands-on, student-centered activities that include experiments, simulations, videos, discussions, and group activities. Students will complete a multi-week project that has them collect data, analyze the data, and draw conclusions.
In this honors-level course, students are expected to invest approximately 8 hours per week on their coursework.