Data Analysis for Development
Exploring the nature of applied data analysis, this book illustrates the use of statistical techniques in analyzing policy problems. These techniques are appled to real development problems in Pakistan to demonstrate the usefulness of data analysis in development. Students, economists, and professional policy analysts will discover that, as the author himself says, "Whatever one's political or ethical values, one can make better decisions by having statistical results."
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Using Regression Analysis to Assess School Policies
Do Schools Care About Equality?
Inflation in University Grades
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admissions B.Ed capita GNP cent chapter consumption of calories correlation countries data set districts dummy variable Economics effect employed examination scores example expectancy explained exploratory data analysis export prices F-statistic factor analysis Figure findings grades graduates higher HISTOGRAM Il.S imports included income independent variables Inter Exam Inter score interval Number Jacobabad Larkana linear marks Matric measures Middle of interval Minister money supply Nawabshah nonresponses Number of observations number of students percentage pharmacy college policy variables population density predicted predictor problem rate of growth rate of inflation regression analysis regression coefficients regression equation RESIDUAL PLOT Robert Klitgaard S.E. estimate salary sample school policies Science scores sector selected Siddiqui significantly socio-economic standard deviation statistically significant Sukkur Table teacher training college Thatta unemployed unemployment University of Karachi urban Urdu V/N ratio variance variation West Pakistan