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Algebra II: 5.5 Sampling Variability
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This section explores the concept of sampling variability in the sample proportion. It will address the effect on the mean and standard deviation of a sample distribution as the sampling size changes.

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Subject:
Mathematics
Material Type:
Lesson
Provider:
CK-12 Foundation
Date Added:
10/02/2022
Algebra II: 5.8 Evaluating Reports
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Learn to analyze examples of claims presented in the media that involve estimating a population proportion and population mean.

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Subject:
Mathematics
Material Type:
Lesson
Provider:
CK-12 Foundation
Date Added:
10/02/2022
Algebra II: 6.3 Z-Scores
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See how Z-scores are related to the Empirical Rule from the standpoint of being a method of evaluating how extreme a particular value is in a given set.

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Subject:
Mathematics
Material Type:
Lesson
Provider:
CK-12 Foundation
Date Added:
10/02/2022
Algebra II: 6.6 The T-Test
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Learn about a statistical test that is used to compare the means of two groups, the T Test.

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Subject:
Mathematics
Material Type:
Lesson
Provider:
CK-12 Foundation
Date Added:
10/02/2022
Algebra I Module 2: Descriptive Statistics
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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.

Subject:
Mathematics
Statistics and Probability
Material Type:
Module
Provider:
New York State Education Department
Provider Set:
EngageNY
Date Added:
08/01/2013
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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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
Big Data, What Are You Saying?
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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
Bubbling Plants
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Students learn a simple technique for quantifying the amount of photosynthesis that occurs in a given period of time, using a common water plant (Elodea). They can use this technique to compare the amounts of photosynthesis that occur under conditions of low and high light levels. Before they begin the experiment, however, students must come up with a well-worded hypothesis to be tested. After running the experiment, students pool their data to get a large sample size, determine the measures of central tendency of the class data, and then graph and interpret the results.

Subject:
Engineering
Science
Material Type:
Activity/Lab
Lesson Plan
Provider:
TeachEngineering
Provider Set:
TeachEngineering
Author:
Mary R. Hebrank
Date Added:
09/26/2008
Descriptive Statistics
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Very complete explanation of mean, standard deviation, etc. including an online calcluator for these statistics.

Subject:
Mathematics
Material Type:
Reading
Date Added:
12/01/2023
Earthquakes Living Lab: Locating Earthquakes
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Students use U.S. Geological Survey (USGS) real-time, real-world seismic data from around the planet to identify where earthquakes occur and look for trends in earthquake activity. They explore where and why earthquakes occur, learning about faults and how they influence earthquakes. Looking at the interactive maps and the data, students use Microsoft® Excel® to conduct detailed analysis of the most-recent 25 earthquakes; they calculate mean, median, mode of the data set, as well as identify the minimum and maximum magnitudes. Students compare their predictions with the physical data, and look for trends to and patterns in the data. A worksheet serves as a student guide for the activity.

Subject:
Earth and Space Science
Science
Material Type:
Activity/Lab
Provider:
TeachEngineering
Provider Set:
TeachEngineering
Author:
Jessica Noffsinger
Jonathan Knudtsen
Karen Johnson
Mike Mooney
Minal Parekh
Scott Schankweiler
Date Added:
02/17/2021