Discussion of permutations and combinations using examples and a video lesson. [1:15]
Discussion of probabilities through the use of examples and a video lesson. [0:35]
Make a scatter plot of data and find the line of best fit to represent that data.
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This section explores how to determine the sample space, or possible outcomes, for an event such as rolling dice. It also investigates how to determine the probability of different outcomes occurring for an activity such as flipping a coin multiple times.
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In this section, students will explore different methods for determining the probability of complex events and conditional probabilities (such as unions, intersections, and complements).
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Students build a formal understanding of probability, considering complex events such as unions, intersections, and complements as well as the concept of independence and conditional probability. The idea of using a smooth curve to model a data distribution is introduced along with using tables and technology to find areas under a normal curve. Students make inferences and justify conclusions from sample surveys, experiments, and observational studies. Data is used from random samples to estimate a population mean or proportion. Students calculate margin of error and interpret it in context. Given data from a statistical experiment, students use simulation to create a randomization distribution and use it to determine if there is a significant difference between two treatments.
Find the rest of the EngageNY Mathematics resources at https://archive.org/details/engageny-mathematics.
(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.)
Los estudiantes crean una comprensión formal de la probabilidad, considerando eventos complejos como sindicatos, intersecciones y complementos, así como el concepto de independencia y probabilidad condicional. La idea de usar una curva suave para modelar una distribución de datos se introduce junto con el uso de tablas y tecnología para encontrar áreas bajo una curva normal. Los estudiantes hacen inferencias y justifican conclusiones de encuestas de muestra, experimentos y estudios de observación. Los datos se usan de muestras aleatorias para estimar una media o proporción de población. Los estudiantes calculan el margen de error y lo interpretan en contexto. Dados los datos de un experimento estadístico, los estudiantes usan la simulación para crear una distribución de aleatorización y lo usan para determinar si hay una diferencia significativa entre dos tratamientos.
Encuentre el resto de los recursos matemáticos de Engageny en https://archive.org/details/engageny-mathematics.
English Description:
Students build a formal understanding of probability, considering complex events such as unions, intersections, and complements as well as the concept of independence and conditional probability. The idea of using a smooth curve to model a data distribution is introduced along with using tables and technology to find areas under a normal curve. Students make inferences and justify conclusions from sample surveys, experiments, and observational studies. Data is used from random samples to estimate a population mean or proportion. Students calculate margin of error and interpret it in context. Given data from a statistical experiment, students use simulation to create a randomization distribution and use it to determine if there is a significant difference between two treatments.
Find the rest of the EngageNY Mathematics resources at https://archive.org/details/engageny-mathematics.
Resource provides a biography of the scientist Andre Marie Ampere.
An MIT mathematics professor examines the probability of a random triangle being either obtuse or acute in a video [32:44] on geometrical probability. Video is accompanied by a teacher's guide, transcript, and several links on linear algebra, geometry, and probability.
Article reports on the probability of a hidden chamber inside King Tutankhamun's Tomb, and who might be buried there.
Activities and factsheets exploring ratios and proportions in everyday life. Interactive, colorful, and fun.
Students will be able to represent the sample space of compound events, and calculate the probability of events using their sample space.
Learn about probability concepts with fun learning games including Algebra II Jeopardy, Deal or No Deal, Decisions Decisions, Show Time, Playin' against All Odds, and more.
Who's the REAL meat eater here? Let's do some math and find out!
How do we use ratios to make predictions? Let's find out!
The students will be learning about probability language and how it pertains to their lives.
Students practice skills of addition, subtraction, word problems and graphing and develop their own theories about why meat consumption is so different across the world.
Operation Independence! Students will now take what they have learned from previous data lessons and put it into action. The students will work in pairs of two to decide on a survey question and then collects classmates' responses to their question
Students will be able to design and conduct their own simulation to determine the probability of an event.
Today we become Gallup Poll central as students take a set of collected data and create a visual representation using the skills that have been taught over the past few lessons.