# Examples

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2004 Asian Earthquake and Tsunami Disaster Project part of Examples
Students are employees of a unit of the United Nations responsible for coordinating disaster relief after a major disaster (the 2004 Asian Earthquake and Tsunami) occurs. The agency needs to understand the situation in each country so that it can coordinate the work of various governments and NGO (nongovernmental organizations) working in the affected area.

Subject: Geoscience:Oceanography, Environmental Science:Natural Hazards:Earthquakes, Geoscience:Oceanography:Marine Hazards, Geoscience:Geology, Environmental Science:Natural Hazards:Coastal Hazards:Tsunami

Problem-Based Learning: UV Menace part of Examples
Students work as a team to determine the causes, effects, and solutions to ozone depletion. They work out what they need to know, and split the team up to research different parts of the issue.

Subject: Environmental Science:Global Change and Climate:Ozone depletion, Geoscience:Atmospheric Science:Meteorology:Atmospheric structure and composition

Body Measures: Exploring Distributions and Graphs Using Cooperative Learning part of Examples
This lesson is intended as an early lesson in an introductory statistics course. The lesson introduces distributions, and the idea that distributions help us understand central tendencies and variability. Cooperative learning methods, real data, and structured interaction emphasize an active approach to teaching statistical concepts and thinking.

Subject: Mathematics:Statistics:Data Presentation, Data Collection, Probability, Mathematics:Statistics, Mathematics, :Statistics:Data Collection:Measurements Properties and Issues, Mathematics:Statistics:Probability:Univariate Distributions

Understanding the standard deviation: What makes it larger or smaller? part of Examples
Using cooperative learning methods, this activity helps students develop a better intuitive understanding of what is meant by variability in statistics.

Subject: Mathematics, :Statistics:Statistical Inference and Techniques, Mathematics:Statistics

Histogram Sorting Using Cooperative Learning part of Examples
Intended as an early lesson in an introductory statistics course, this lesson uses cooperative learning methods to introduce distributions. Students develop awareness of the different versions of particular shapes (e.g., different types of skewed distributions, or different types of normal distributions), and that there is a difference between models (normal, uniform) and characteristics (skewness, symmetry, etc.).

Subject: Mathematics, :Statistics:Data Presentation, Mathematics:Statistics

How well can hand size predict height? part of Examples
This activity is deigned to introduce the concepts of bivariate relationships. It is one of the hands-on activities of the &#8216;real-time online hands-on activities&#8217;. Students collect their own data, enter and retrieve the data in real time. Data are stored in the web database and are shared on the net.

Subject: Mathematics:Statistics:Data Presentation, Probability:Multivariate Distributions, Mathematics:Statistics, Mathematics, :Statistics:Data Presentation:Multivariate Quantitative Relationships, Mathematics:Statistics:Probability

Statistics and Error Rates in Death Penalty Cases part of Examples

Subject: Mathematics:Statistics, Mathematics, :Statistics:Statistical Inference and Techniques, Probability

Nature of the chi-square distribution part of Examples
Explaining the chi-square and F distributions in terms of the behavior of variables constructed by generating random samples of normal variates and summing the sqaures of the values.

Subject: Mathematics:Statistics:Statistical Inference and Techniques, Mathematics, :Statistics:Statistical Inference and Techniques:Sampling Distributions, Mathematics:Statistics

Limiting Reactants: Industrial Case Study part of Examples
An exercise in which students apply limiting reactants, mass ratios and percent yields to suggest an optimum industrial process. Cost figures are provided but students are told to come up with, and defend, their own criteria for their recommendation.

Subject: Chemistry:General Chemistry, General Chemical Reactions:Stoichiometry

Economies of scale part of Examples
Working in groups of three, students analyze economies of scale. Each student constructs an individual short-run ATC curve, then the three students collaborate to determine if there are economies or diseconomies of scale and to create the long run ATC.

Subject: Economics:Micro, Economics