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2020 Resources U.S. Census
Unrestricted Use
Public Domain
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New activities designed specifically for the 2019-2020 school year spotlight the 2020 Census and the importance of making sure everyone is counted, especially children. The decennial count impacts the federal funds that communities receive for special education, classroom technology, teacher training, after-school programs, school lunch assistance, and more. PreK-grade 12.

Subject:
Government
Mathematics
Social Studies
Statistics and Probability
Material Type:
Activity/Lab
Author:
Us Census Bureau
Date Added:
11/06/2019
AAA Math
Read the Fine Print
Educational Use
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AAA Math's interactive tutorials and lessons assist students grades K-8 improve their understanding of a wide range of arithmetic topics. Students are provided with immediate feedback as they complete the "Learn," "Practice," and "Play" portions of each lesson. Browse AAA Math's contents by subject or by grade level.

Subject:
Mathematics
Material Type:
Textbook
Provider:
AAA Math
Date Added:
12/01/2023
Algebra II Module 4: Inferences and Conclusions from Data
Conditional Remix & Share Permitted
CC BY-NC-SA
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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.

Subject:
Algebra
Mathematics
Material Type:
Module
Provider:
New York State Education Department
Provider Set:
EngageNY
Date Added:
03/24/2016
Algebra II Módulo 4: Inferencias y conclusiones de los datos
Conditional Remix & Share Permitted
CC BY-NC-SA
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(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.

Subject:
Algebra
Mathematics
Material Type:
Module
Provider:
New York State Education Department
Provider Set:
EngageNY
Date Added:
03/24/2016
Applying Statistics to Nano-Circuit Dimensions in Fabrication
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Educational Use
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Measuring the dimensions of nano-circuits requires an expensive, high-resolution microscope with integrated video camera and a computer with sophisticated imaging software, but in this activity, students measure nano-circuits using a typical classroom computer and (the free-to-download) GeoGebra geometry software. Inserting (provided) circuit pictures from a high-resolution microscope as backgrounds in GeoGebra's graphing window, students use the application's tools to measure lengths and widths of circuit elements. To simplify the conversion from the on-screen units to the real circuits' units and the manipulation of the pictures, a GeoGebra measuring interface is provided. Students export their data from GeoGebra to Microsoft® Excel® for graphing and analysis. They test the statistical significance of the difference in circuit dimensions, as well as obtain a correlation between average changes in original vs. printed circuits' widths. This activity and its associated lesson are suitable for use during the last six weeks of the AP Statistics course; see the topics and timing note below for details.

Subject:
Mathematics
Statistics and Probability
Material Type:
Activity/Lab
Provider:
TeachEngineering
Provider Set:
TeachEngineering
Author:
Cunjiang Yu
Miguel R. Ramirez
Minwei Xu
Song Chen
Date Added:
02/17/2021
Average Practice Time
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Educational Use
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In this video segment from TV411, figure skaters compute their average daily practice time.

Subject:
Mathematics
Material Type:
Lecture
Provider:
PBS LearningMedia
Author:
U.S. Department of Education
WNET
Date Added:
07/10/2008
BBC Bitesize: Mode, Median, Mean
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Educational Use
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This website from the BBC is a great introduction to averages (mean, median, and mode) and will take you through some interactive learning activities. A practice test and worksheet are also provided.

Subject:
Mathematics
Material Type:
Lesson
Provider:
BBC
Provider Set:
Bitesize
Date Added:
08/28/2023
Basic Monte Carlo Simulation for Beginning Econometrics
Conditional Remix & Share Permitted
CC BY-NC-SA
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Beginning econometrics students often have an uneven preparation in statistics. The simulation gives students a clearer understanding of the behavior of OLS estimators.

Subject:
Business and Communication
Economics
Social Studies
Material Type:
Activity/Lab
Simulation
Teaching/Learning Strategy
Provider:
Science Education Resource Center (SERC) at Carleton College
Provider Set:
Pedagogy in Action
Author:
Betty J. Blecha
Date Added:
02/24/2021
BetterLesson: 100 Students Project: What Do We Want to Know About Our Students?
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Educational Use
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What makes a question a statistical question? Students learn about statistical and non-statistical questions and then use that knowledge to brainstorm survey questions for their classmates.

Subject:
Mathematics
Material Type:
Lesson Plan
Provider:
BetterLesson
Date Added:
12/01/2022
BetterLesson: Super Sorter! - Multiple Attribute Sorting with a Venn Diagram
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Educational Use
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Understanding multiple attributes is an important mathematical process. The students use their knowledge of Venn Diagrams in this lesson to gain more knowledge about this concept.

Subject:
Mathematics
Material Type:
Lesson Plan
Provider:
BetterLesson
Date Added:
12/01/2022
Big Data, What Are You Saying?
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Educational Use
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Students act as R&D entrepreneurs, learning ways to research variables affecting the market of their proposed (hypothetical) products. They learn how to obtain numeric data using a variety of Internet tools and resources, sort and analyze the data using Excel and other software, and discover patterns and relationships that influence and guide decisions related to launching their products. First, student pairs research and collect pertinent consumer data, importing the data into spreadsheets. Then they clean, organize, chart and analyze the data to inform their product production and marketing plans. They calculate related statistics and gain proficiency in obtaining and finding relationships between variables, which is important in the work of engineers as well as for general technical literacy and decision-making. They summarize their work by suggesting product launch strategies and reporting their findings and conclusions in class presentations. A finding data tips handout, project/presentation grading rubric and alternative self-guided activity worksheet are provided. This activity is ideal for a high school statistics class.

Subject:
Mathematics
Statistics and Probability
Material Type:
Activity/Lab
Provider:
TeachEngineering
Provider Set:
Activities
Author:
Tom Falcone
Date Added:
05/03/2017
Bureau of Labor Statistics:Labor Force Statistics from Current Population Survey
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Educational Use
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The Current Population Survey (CPS) is a monthly survey of households conducted by the Bureau of Census for the Bureau of Labor Statistics. It provides a comprehensive body of data on the labor force, employment, unemployment, and persons not in the labor force. Provides general information along with detailed statistics, charts, and tables.

Subject:
Social Studies
Material Type:
Reading
Provider:
U.S. Department of Labor
Provider Set:
Bureau of Labor Statistics
Date Added:
10/03/2023
Bureau of Labor Statistics: Occupational Employment Statistics
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Educational Use
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Compares occupations in terms of numbers employed, projected employment growth, earnings, education and training requirements, opportunities for self-employment and part-time work, and unemployment rate.

Subject:
Financial Literacy
Social Studies
Material Type:
Reading
Provider:
U.S. Department of Labor
Provider Set:
Bureau of Labor Statistics
Date Added:
08/28/2023