# Examples

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- Statistics 8 matches

## Mathematics

4 matches General/OtherResults 1 - 10 of **12 matches**

Writing about Numbers We Should Know part of Examples

This opening assignment for an introductory quantitative reasoning course asks students to write about "Numbers We Should Know." Its goal is to help students begin to think quantitatively, evaluate the sources of quantitative information critically, and write using numbers precisely and thoughtfully.

Two Views of a Tax Cut part of Examples

Statistical Graphs: Aids Cases and Deaths by Year and Historical Poverty in the US part of Examples

How to Teach to be Statistically Literate part of Examples

Demographic Data in Community Assessment part of Examples

As part of a community assessment, students research demographic data for a local community. The data of the community are compared to the state and the US. This information is used to help identify needs in the community.

Understanding Exponential Growth in the Context of Population Models part of Examples

This set of short assignments gives students practice with exponential models in the context of the growing human population.

Descriptive Statistics Project part of Examples

Economic argument about increasing fuel efficiency part of Examples

Critique of an economic argument about increasing fuel efficiency involving linear and exponential growth.

Storyboarding With Data: Using Quantitative Reading to Teach Research Writing part of Examples

By using a multi-part storyboard approach, we aim to teach participants how to critically assess visual information in research articles. In this exercise, we have three workshop activities: (1) assessing a single figure, (2) assessing a series of figures to determine coherence across a data set, (3) drafting the text for a research article around those visual representations of data.

Luck and Randomness in Sports part of Examples

This assignment allows students to investigate randomness in outcomes of sporting events. They will use their knowledge of probability distributions to assess the role that luck has played in the outcomes for teams or individuals.