This activity is designed to be part of a unit on the …
This activity is designed to be part of a unit on the U.S. Constitution, as it focuses on U.S. voting trends. Students will analyze bar and line graphs showing the percentages of people (by race, age, sex, region, and education) who voted in elections between 1964 and 2014. Students will use these data to respond to the question “Who votes in American elections?”
As the standards in statistics and probability unfold, students will not yet …
As the standards in statistics and probability unfold, students will not yet know the rules of probability for compound events. Thus, simulation is used to find an approximate answer to these questions. In fact, part b would be a challenge to students who do know the rules of probability, further illustrating the power of simulation to provide relatively easy approximate answers to wide-ranging problems.
This applet allows the user to adjust the alpha (rate) and the …
This applet allows the user to adjust the alpha (rate) and the beta (scale) parameters of the Gamma distribution with a slider or manual input. The user can also indicate a model (density, hazard, or reliability).
In this activity, students will learn about population movement, migration trends, and …
In this activity, students will learn about population movement, migration trends, and the westward expansion of the early 1800s. First, students will create a line graph that depicts changes in aggregated population data from 1800 to 1850 for Illinois, Indiana, Missouri, and Ohio. Using this graph, students will make data comparisons and draw conclusions. Next, students will compare the populations of several states between 1790 and 1850 and make conclusions that demonstrate their understanding of population trends in northern and southern states. This activity can spark discussion of sectionalism, slavery, and the different economic climate that took shape in the northern and southern states in the early 1800s.
Students will learn about and review key geography and census terms, discover …
Students will learn about and review key geography and census terms, discover how the U.S. Census Bureau organizes space geographically, and understand why census data are collected in this way.
Students act as food science engineers as they explore and apply their …
Students act as food science engineers as they explore and apply their understanding of cooling rate and specific heat capacity by completing two separate, but interconnected, tasks. In Part 1, student groups conduct an experiment to explore the cooling rate of a cup of hot chocolate. They collect and graph data to create a mathematical model that represents the cooling rate, and use an exponential decay regression to determine how long a person should wait to drink the cup of hot chocolate at an optimal temperature. In Part 2, students investigate the specific heat capacity of the hot chocolate. They determine how much energy is needed to heat the hot chocolate to an optimal temperature after it has cooled to room temperature. Two activity-guiding worksheets are included.
Students will use the U.S. Census Bureau’s QuickFacts data access tool to …
Students will use the U.S. Census Bureau’s QuickFacts data access tool to examine information about three cities, including population, education, and income data. Students will draw conclusions about life in those three cities to determine which city they would like to live in as an adult.
Students will examine graphs on education, earnings, and workforce participation for men …
Students will examine graphs on education, earnings, and workforce participation for men and women between 1940 and 2010. Specifically, students will study a graph of the percentages of managers who were women from 1940 to 2009 to understand the connection between the increase in these percentages and the feminist movement of the 1960s.
Students will learn about how the U.S. government classifies race and ethnicity. …
Students will learn about how the U.S. government classifies race and ethnicity. The teacher will play a video of students at Park East High School in New York City who contacted the U.S. Census Bureau to start a conversation about the way race and ethnicity are identified in census surveys. Students will also read a blog post explaining how the Census Bureau has changed the way it collects data on race and ethnicity. In the last part of the activity, students will write a letter that could be sent to a leader in their community with the goal of sparking some type of change.
(Nota: Esta es una traducción de un recurso educativo abierto creado por …
(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 reconectan y profundizan su comprensión de las estadísticas y los conceptos de probabilidad introducidos por primera vez en los grados 6, 7 y 8. Los estudiantes desarrollan un conjunto de herramientas para comprender e interpretar la variabilidad en los datos, y comienzan a tomar decisiones más informadas de los datos . Trabajan con distribuciones de datos de varias formas, centros y diferenciales. Los estudiantes se basan en su experiencia con datos cuantitativos bivariados del grado 8. Este módulo prepara el escenario para un trabajo más extenso con muestreo e inferencia en calificaciones posteriores.
Encuentre el resto de los recursos matemáticos de Engageny en https://archive.org/details/engageny-mathematics.
English Description: In this module, students reconnect with and deepen their understanding of statistics and probability concepts first introduced in Grades 6, 7, and 8. Students develop a set of tools for understanding and interpreting variability in data, and begin to make more informed decisions from data. They work with data distributions of various shapes, centers, and spreads. Students build on their experience with bivariate quantitative data from Grade 8. This module sets the stage for more extensive work with sampling and inference in later grades.
Find the rest of the EngageNY Mathematics resources at https://archive.org/details/engageny-mathematics.
No restrictions on your remixing, redistributing, or making derivative works. Give credit to the author, as required.
Your remixing, redistributing, or making derivatives works comes with some restrictions, including how it is shared.
Your redistributing comes with some restrictions. Do not remix or make derivative works.
Most restrictive license type. Prohibits most uses, sharing, and any changes.
Copyrighted materials, available under Fair Use and the TEACH Act for US-based educators, or other custom arrangements. Go to the resource provider to see their individual restrictions.
