Hands-on archaeo-logical field research

Hands-on archaeo-logical field research in the local area. The practical working methodology of the archaeologist through excavation and site survey with training in registration preservation and analysis of archaeological data. Description and examples of the use of statistical techniques relevant to economics. Basic rules of probability conditional probability discrete and continuous probability distributions. Point esti­mation tests of hypotheses confidence intervals and linear regression model. Prerequisite: MATH 41 or equivalent. Uses excel Descriptive statistics. Regression analysis. Hypothesis testing. Analysis of variance. Het­eroskedasticity serial correlation errors in variables simultaneous equations. Prerequisites: 50 102A or equivalent.
Recommended: computer experience. Identification and estimation of the effect of human capital variables on earnings (e.g. the return to education tenure) and identification and estimation of labor supply models focusing on microeconomic data. Topics: instrumental variable estimation limited dependent variable models (probit logit and tobit models) and panel data techniques (fixed effect and random effect models dynamic panel data models). The construction and use of econo­metric models for analyzing economic phenomena. Students complete individual projects and core material. Topics vary with the instructor. Limited enrollment. Prerequisites: 52 102B. Probability random variables and distributions; large sample theory; theory of estimation and hypothesis testing. Limited enrollment.
Prerequisites: math and probability at the level of Chapter 2 Paul G. Hoel Introduction to Mathematical Statistics 5th ed. Pri­marily for master's students with little or no experience. Focus is on reading literature and interpreting descriptive and inferential statistics especially those commonly found in education. Topics: basic research design instrument reliability and validity description statistics correla­tion t-tests simple analysis of variance simple and multiple regression and contingency analysis. For doctoral students with little or no prior statistics. Organization of data descriptive statistics elementary methods of inference hypothesis testing and confidence intervals. Computer package used. Students cannot also receive credit for PSYCH 60 or for STATS 60/160. (all areas) Extracting information from data using statistical summaries and graphical visualization statistical measures of associa­tion and correlation distribution models sampling error estimation and confidence intervals linear models and regression analysis introduction to time-series and spatial data with geostatistics applications including environmental monitoring natural hazards and experimental design. Either or both of 160 and 161 may be taken.

1. Understanding and using the linear regression model in a social-science context: properties of the least squares estimator; inference and hypothesis testing; assessing model fit; presenting results for publication; consequences and diagnosis of departures from model assumptions; outliers and influential observations graphical techniques for model fitting and checking; interactions among exploratory variables; pooling data; extensions for binary responses.
2. GER:DB-Math Operationalization of concepts measurement scale construction finding and pooling/ merging data cross-tabulations tests of association comparison of means correlation scatterplots and regression models.
3. How to present the results of data analysis in research reports essays and theses.
4. Emphasis is on getting and using data with appropriate statistical software.
5. Prior mathematics not required.

GER:DB-Math Concepts and tools of non-cooperative game theory developed using political science questions and applications. Formal treatment of Hobbes' theory of the state and major criticisms of it; examples from international politics. Primarily for graduate students; undergraduates admitted with consent of instructor. Techniques for organizing data computing and interpreting measures of central tendency variability and association. Estimation confidence intervals tests of hypotheses t-tests correlation and regression. Possible topics: analysis of variance and chi-square tests computer statistical packages. Reviews material covered in prerequisites with applications of qualitative independent variable techniques to labor market data. Maximum likelihood estimation and qualitative dependent variable models with an application to voting models. Final papers estimate influence of quantitative and qualitative independent variables on Congressional voting probabilities. Prerequisites: ECON 102A B. GER:DB-SocSci Statistical inference with a minimum of mathematical formulation. Topics: comparisons and the randomized clinical trial statistical significance accuracy and the meaning of statistical error (plus or minus) correlation and regression to the mean exploratory methods and data mining life tables and survival an.