Examples

This collection of activities from Carleton College faculty is a subset of the larger set of examples available through the National Numeracy Network.



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Shifting Attitudes on the Second Shift: A Statistical Analysis of Women and Work part of Examples
(How) have public attitudes about work and gender changed over the last 25 years? Using the General Social Survey (available online) students will conduct a descriptive statistical analysis of Americans perceptions about women and work from 1988. They will then contextualize their findings within the contemporary literature about these issues.

The Logic of Congressional Elections part of Examples
A variety of quantitative approaches to Congressional elections in which students learn the causes of electoral outcomes, the predictability of those outcomes, and intervening variables that produce unexpected outcomes.

Comparison of GDP and the Human Development Index (HDI). part of Examples
This assignment exposes students to data on economic growth anddevelopment as commonly measured by per capita GDP and the HumanDevelopment Index (HDI) for 100 countries of the world. There is a bigdebate about how good an indicator HDI is compared to GDP per capita asa measure of development.

Assessing the Measurement and Validity of Ambiguous Concepts in Ethnic Conflict Datasets part of Examples
This assignment introduces students to commonly used datasets in ethnic conflict studies. It also encourages them to think critically about data quality and measurement challenges when using large datasets.

Building an Electoral Dataset and Testing Hypotheses with the Data part of Examples
Undergraduate student project for building datasets and analyzing the electoral, party system, and mass behavioral characteristics for a set of countries.

Quantitative Review of an Article part of Examples
Students will read an academic article critically and write a review of the article.

Learning About Racial Demography Using the US Census part of Examples
The purpose of this activity is to give students the opportunity to learn how the US Census categorizes race and analyze racialized descriptive statistics. They will get a chance to digest the material in the Census reports, and teach it to others.

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