In this exercise, we use the USGS real-time data available online, and …
In this exercise, we use the USGS real-time data available online, and use it to construct a rating curve for the Walla Walla river near Touchet. We then make a simple model of flood inundation in ArcGIS for the area around our gaging station.
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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.
Spreadsheets Across the Curriculum module/Geology of National Parks course. Students use foundational …
Spreadsheets Across the Curriculum module/Geology of National Parks course. Students use foundational math to study the velocity of the North American Plate over the hot spot, the volume of eruptive materials from it, and the recurrence interval of the cataclysmic eruptions.
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In this lesson, students will learn to find and use z-scores to …
In this lesson, students will learn to find and use z-scores to compare data. Through videos and interactive questions with immediate feedback they can practice the basics of z-score usage.
This activity entails a basic morphometrics lab, followed up by an in-class …
This activity entails a basic morphometrics lab, followed up by an in-class exercise to reinforce some of the same key concepts. The lab exercise familiarizes the student with basic methods of quantitative characterization and statistical comparison through measurement of pygidia (tails) of two species of the Ordovician trilobite Bellefontia -- one from New York and one from Pennsylvania. Actual specimens, while nice, are not required; data acquired by measurement from photo collages will suffice. The exercise culminates in a statistical test of significance (using the Z-statistic) of the difference in slopes of the lines acquired for data from the two species. The data also serve to pose questions and prompt consideration of growth trajectories and discrimination of isometric from anisometric growth. The in-class activity builds on the knowledge base built in the lab but applies it to species discrimination based on the cranidia (central part of the head) of three species of the Upper Cambrian genus Bartonaspis, known to be of identical age from their occurrences within the very thin (everywhere 2m or less) Irvingella major Zone of the Elvinia trilobite Zone. The importance of that subzone, which is the "critical interval" at the top of the Pterocephaliid Biomere the basal unit of the Sunwaptan Stage traceable throughout Laurentian North America, also contributes to the significance of the exercise. With the insight developed from the lab, students are able to confidently distinguish the three species of Bartonaspis (from three photo collages), but must thoughtfully evaluate the data presented in bivariate plots of cranidial morphologic data to do so. The exercise gives the students a good sense of the level of familiarity and morphologic characterization necessary to do species-level identification, and also some worthwhile practice in basic quantitative methods.
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(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.
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