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Introducing Introductory Psychology Students to Quantitative Analysis part of Examples
An assignment that involves introductory psychology students in the analysis a data set on personality traits and their relationship to measures of happiness and well-being.
Descriptive Statistics Project part of Examples
Final Quantitative Reasoning Project: Planning a Sesquicentennial Celebration part of Examples
This final project gives students the opportunity to apply unit conversions, geometry, estimation, and personal finance modeling in one cohesive, real world analysis.
Examining Prosocial Behavior Quantitatively: An Activity for Introductory Psychology Students part of Examples
For this psychology project, students in small groups will design and execute a study on helping behavior and then analyze and interpret the results.
Cultural Reading of movies in an advanced culture class in French part of Examples
Students analyze the cultural relevance of various French films with the help of statistical data.
American Politics Group Data Projects part of Examples
SETUPS (Empirical Teaching Unites in Political Science) data, published by the American Political Science Association, will be employed in group data analysis projects in an American Government class. Students then use results from these reports in composing an essay question on the course's final exam.
Understanding Macroeconomic Statistics: Country Profile Project part of Examples
This project, appropriate for principles of macro students, provides students with the opportunity to use collect and present real world data pertinent to macro concepts such as GDP, economic growth, unemployment and inflation. A short quantitative writing assignment reinforces interpretation skills.
Using State-Level Data to Study Nominal and Real GDP, Part 1GDP Deflators and Inflation Rates part of Examples
Calculation of state-level GDP deflators and inflation rates "Using FRED" section.
Analyzing the Last Five Years of the US Economy for an Intermediate Macro Course part of Examples
Intermediate students are asked to analyze data on the components of consumption and investment expenditures and explanatory variables based on textbook models of each. Students look for rough correlations between the explanatory and dependent variables.