Main description:
No matter the field, professionals need to respond quickly to quantitative problems as they arise and to develop a quick understanding of what the data mean. Whether you are an aide to a city council member trying to decipher the true meaning of a citizen opinion poll, a private consultant to the health department estimating the number of pregnant teenagers in a neighborhood, or the executive director of a small agency striving to present your budget facts precisely and clearly, the techniques presented here are helpful to you and your work.
Key - Presents relatively simple techniques that can be applied quickly when a complete, thorough solution is not possible
- Provides instructions for the use of each technique and examples with problem solutions
Table of contents:
How to Describe and Display Data:
Descriptive Statistics.
Tabular Analysis.
Graphic Techniques.
Basic Ways to Analyze Data:
Scatterplots.
Correlation Analysis.
Statistical Significance.
Looking at Data Across Time:
Projection Techniques.
Annualizing Rates of Change.
Shift-Share Analysis.
Multiplier Analysis.
How to Obtain and Validate Data:
Sampling.
Confidence Levels.
Sample Size.
How to Compare Options:
Location Quotient.
Indices.
Net Benefit Evaluation.
Glossary.
Appendices.
Index.
No matter the field, professionals need to respond quickly to quantitative problems as they arise and to develop a quick understanding of what the data mean. Whether you are an aide to a city council member trying to decipher the true meaning of a citizen opinion poll, a private consultant to the health department estimating the number of pregnant teenagers in a neighborhood, or the executive director of a small agency striving to present your budget facts precisely and clearly, the techniques presented here are helpful to you and your work.
Key - Presents relatively simple techniques that can be applied quickly when a complete, thorough solution is not possible
- Provides instructions for the use of each technique and examples with problem solutions
Table of contents:
How to Describe and Display Data:
Descriptive Statistics.
Tabular Analysis.
Graphic Techniques.
Basic Ways to Analyze Data:
Scatterplots.
Correlation Analysis.
Statistical Significance.
Looking at Data Across Time:
Projection Techniques.
Annualizing Rates of Change.
Shift-Share Analysis.
Multiplier Analysis.
How to Obtain and Validate Data:
Sampling.
Confidence Levels.
Sample Size.
How to Compare Options:
Location Quotient.
Indices.
Net Benefit Evaluation.
Glossary.
Appendices.
Index.