This lesson series asks students to use a machine learning specialization to explore multiple case studies between various predictive models and analyze an intelligent application that makes predictions from data.
In this project, students will utilize industry-relevant data analysis skills to support their research project. Students will learn different statistical tools such as mean, standard deviation, and Student’s t-test to support their findings.
Complex organizations like Lockheed Martin gather large amounts of data from various sources. While data collection has been automated, data analysis and communication still requires human capital.
The normal curve model (density curve) is a topic in statistics that is very vital to understand, to be able to succeed in grasping the concepts of probability models, which is a heavy focus in the AP statistics course.
This two to three day lesson allow a students to create a hypothesis on what makes a good Algebra student, then analyze data in order to see if their hypothesis holds.
There are several popular platforms for teaching and learning Statistics at the high school level. Graphing calculators such as TI-83 or Casio FX-9750 and their cousins are essential tools for taking the AP Statistics Exam.
This exercise models the analysis that manufacturers must go through to determine whether a manufactured component meets acceptance criteria.
Human sweat contains much information about the physiological condition of a person, hence, obtaining such information can help in monitoring human health.
This ETP will focus on students learning about the statistics of Cardiovascular Disease (or Heart Disease), which is the leading global cause of death. They will be interpreting real statistical data about Cardiovascular Disease looking at different factors, like age, race, and ethnicity.