Students will apply what they have learned in previous lessons to analyze ...
Students will apply what they have learned in previous lessons to analyze and draw conclusions about a set of data. They will also justify their thinking based on what they know about the measures (e.g., I know the mean is a good number to use to describe what is typical because the range is narrow and so the MAD is low.).
Students analyze one of the data sets about the characteristics of sixth grade students that was collected by the class in Lesson 2. Students construct line plots and calculate measures of center and spread in order to further their understanding of the characteristics of a typical sixth grade student.
# Key Concepts
No new mathematical ideas are introduced in this lesson. Instead, students apply the skills they have acquired in previous lessons to analyze a data set for one attribute of a sixth grade student. Students make a line plot of the data and find the mean, median, range, MAD, and outliers. They use these results to determine a typical value for their data.
# Goals and Learning Objectives
* Describe an attribute of a typical sixth grade student using line plots and measures of center (mean and median) and spread (range and MAD).
* Justify thinking about which measures are good descriptors of the data set.
This module describes the process of selecting the best available climate projection ...
This module describes the process of selecting the best available climate projection information and using it to develop “climate-adjusted weather” inputs to be used for modeling climate change impacts. These modeled impacts can be used for planning of future water resources. Specific steps of this process include: 1) Recognizing the general science and terms associated with Atmosphere-ocean General Circulation Models (AOGCMs); 2) Making AOGCMs more regionally applicable through bias correction and downscaling; 3) Determining climate change scenarios based on climate projections and selecting specific projections to inform each scenario; and 4) Developing climate-adjusted weather inputs associated with each climate change scenario. See An Introduction to the Downscaled Climate and Hydrology Projections Website for two related videos on how to access downscaled climate and hydrology projections.
In this activity (page 2 of PDF), learners will prepare sheets of ...
In this activity (page 2 of PDF), learners will prepare sheets of homemade recycled paper from several different source pulps. Once dry, each sample will be drawn on with a marker to test how far ink spreads in the fibers of the different kinds of papers. Relates to the linked video, DragonflyTV GPS: Garbology.
Descriptive and inferential statistics for the behavioral and neurological sciences are considered. ...
Descriptive and inferential statistics for the behavioral and neurological sciences are considered. Techniques such as t-tests, factorial analysis of (co)variance, correlation, multiple regression, and nonparametric tests are introduced. Subject provides an introductory overview of some advanced methods such as path analysis, factor analysis, discriminant analysis, and analysis of functional MRI data. Basic issues of research design and methodology intimately associated with data analysis are discussed.