This is a task from the Illustrative Mathematics website that is one part of a complete illustration of the standard to which it is aligned. Each task has at least one solution and some commentary that addresses important asects of the task and its potential use. Here are the first few lines of the commentary for this task: A seven-year-old boy has a favorite treat, Super Fruity Fruit Snax. These "Fruit Snax" come in pouches of 10 snack pieces per pouch, and the pouches ar...

A full AP® Statistics curriculum that explores relevant data in social issues, economics, medicine, sports, and more. The sequence works well in conjunction with the course CED and the most widely-used AP® Statistics textbooks.

After watching video clips from the Harry Potter and the Goblet of Fire movie, students explore the use of Punnett squares to predict genetic trait inheritance. The objective of this lesson is to articulate concepts related to genetics through direct immersive interaction based on the theme, The Science Behind Harry Potter. Students' interest is piqued by the use of popular culture in the classroom.

In this capstone course, students will use new and previous knowledge about drug delivery and biopharmaceutics, to design an innovation. Throughout the course students will engage in learning opportunities related to real-world scenarios in drug delivery, gain a better understanding of the anatomy and physiology related to drug delivery, and participate in a self-directed project to solve a fictitious problem. This learning tool will guide students through the process of understanding real-world applications of drug delivery and how drug delivery is applied to treating infectious diseases. DDF’s innovation project is aligned with NGSS and Common Core standards in math and ELA core curriculum subject areas. The learning activities, final project, and mid-unit assessments are provided to the teacher and students in the form of eLearning readings, quizzes, interactive tools, student response sheets, and presentation outlines. Students using this module should find success in self-directed learning, though they may use additional resources in the community, the guidance of teachers, the advice of scientists or biomedical professionals at DDF, or the knowledge presented in scientific literature to help them achieve their goal; though this module should provide most of the tools they will need for guidance. For more information on in-person learning experiences, please contact our DDF eLearning Project Manager, Lindsay Malcolm: lmalcolm@tsrlinc.com

Students learn how to use and graph real-world stream gage data to create event and annual hydrographs and calculate flood frequency statistics. Using an Excel spreadsheet of real-world event, annual and peak streamflow data, they manipulate the data (converting units, sorting, ranking, plotting), solve problems using equations, and calculate return periods and probabilities. Prompted by worksheet questions, they analyze the runoff data as engineers would. Students learn how hydrographs help engineers make decisions and recommendations to community stakeholders concerning water resources and flooding.

This lesson unit is intended to help teachers assess how well students are able to: Understand conditional probability; represent events as a subset of a sample space using tables and tree diagrams; and communicate their reasoning clearly.

In this module, students build on their understanding of probability developed in previous grades.  In Topic A the multiplication rule for independent events introduced in Algebra II is generalized to a rule that can be used to calculate probability where two events are not independent.  Students are also introduced to three techniques for counting outcomes.  Topic B presents information related to random variables and discrete probability distributions.  Topic C is a capstone topic for this module, where students use what they have learned about probability and expected value to analyze strategies and make decisions in a variety of contexts.

(Nota: Esta es una traducción de un recurso educativo abierto creado por el Departamento de Educación del Estado de Nueva York (NYSED) como parte del proyecto "EngageNY" en 2013. Aunque el recurso real fue traducido por personas, la siguiente descripción se tradujo del inglés original usando Google Translate para ayudar a los usuarios potenciales a decidir si se adapta a sus necesidades y puede contener errores gramaticales o lingüísticos. La descripción original en inglés también se proporciona a continuación.)

En este módulo, los estudiantes se basan en su comprensión de la probabilidad desarrollada en calificaciones anteriores. En el tema A, la regla de multiplicación para eventos independientes introducidos en el álgebra II se generaliza a una regla que puede usarse para calcular la probabilidad donde dos eventos no son independientes. Los estudiantes también se introducen a tres técnicas para contar los resultados. El tema B presenta información relacionada con variables aleatorias y distribuciones de probabilidad discretas. El Tema C es un tema Capstone para este módulo, donde los estudiantes usan lo que han aprendido sobre la probabilidad y el valor esperado para analizar estrategias y tomar decisiones en una variedad de contextos.

English Description:
In this module, students build on their understanding of probability developed in previous grades.  In Topic A the multiplication rule for independent events introduced in Algebra II is generalized to a rule that can be used to calculate probability where two events are not independent.  Students are also introduced to three techniques for counting outcomes.  Topic B presents information related to random variables and discrete probability distributions.  Topic C is a capstone topic for this module, where students use what they have learned about probability and expected value to analyze strategies and make decisions in a variety of contexts.

This resource is geared for teacher use. It is loosely linked to the Secondary Math II, Mathematics Vision Project curriculum.