Quick Answers to Quantitative Problems: A Pocket Primer
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.
* 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
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Approve of Night Assume Average Noise Level benefits calculated Census Chapter CM CM coefficient computed confidence interval confidence level convert correlation costs County Descriptive Statistics determine diagrams difference discounted dollar economic employment error estimate exponential fabricated metal products fabricated metals Female 40 Figure formula Further Readings Gamma Hamilton County historical data independent variable indicating John Wiley location quotient Male 40 median methods Milwaukee multipliers negative newton metre night baseball normal curve normal distribution null hypothesis number of households number of observations numbers of persons ordinal p-value parametric statistical park pascal second plotted population mean population pyramid present value proportion quick rate of change reference region sample data sample mean Sample survey scale data scatterplot sector selected Source square metre standard deviation statistically significant survey of residents tabular analysis tion units variation Wiley and Sons Wisconsin Wonnacott York