Jul 04, 2024
OHIO University Undergraduate Catalog 2023-2024
OHIO University Undergraduate Catalog 2023-2024
[Archived Catalog]
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SOC 2500 - Applied Statistics in Sociology and Anthropology
This course is an introduction to the quantitative statistical analysis in sociological and anthropological research and its substantive importance. Students learn how to apply and interpret statistical methods appropriate for answering research questions using archaeological, census, criminological, historical, paleontological, survey, and other secondary data in the social sciences. Through a series of hands-on projects, students apply statistical tests and methods of analysis to real-world problems using statistical tools and datasets commonly used by sociologists, criminologists, and anthropologists. Students learn how to communicate statistical analysis and results in likely professional situations.
Requisites: PSY 1110 or MATH 1060 or MATH 1200 or MATH 1500 or ET 2400 or Math placement level 2 or higher. Warning NO CREDIT IF: COMS 3520, QBA 2010, MATH 2500, ET 2450, PSY 2110, or POLS 2800
Credit Hours: 4
General Education Code (students who entered prior to Fall 2021-22): 1M
Repeat/Retake Information: May be retaken two times excluding withdrawals, but only last course taken counts.
Lecture/Lab Hours: 3.0 lecture, 2.0 laboratory
Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
Learning Outcomes:
- Students will be able to interpret quantitative data as described in print and electronic media, government reports, and social scientific research.
- Students will be able to collect and organize data and conduct basic statistical analysis using appropriate technology and commonly used statistical software packages.
- Students will be able to summarize univariate and bivariate data by employing appropriate graphical, tabular, and numerical methods and describe the attributes of or relationships between the data.
- Students will be able to identify and access commonly used datasets in the fields of sociology, criminology, and anthropology.
- Students will be able to identify the characteristics of a well-designed statistical study and be able to critically evaluate various aspects of a study.
- Students will be able to calculate basic probability theory, power analyses, and inferential testing including z-tests, t-tests, analysis of variance, correlation and regression, and chi-square.
- Students will be able to explain the difference between statistics and parameters, describe sampling distributions, and generate sampling distributions to observe the Central Limit Theorem.
- Students will be able to estimate population parameters using point and interval estimates and interpret the interval in the context of the problem.
- Students will be able to summarize the relationship between the confidence level, margin of error, and sample size.
- Students will be able to formulate hypotheses, apply appropriate statistical procedures, and interpret findings of observational bivariate and multivariate quantitative measures in sociology and anthropology while recognizing the limits of this analysis.
- Students will be able to make and evaluate important assumptions in estimation, modeling, and data analysis in social scientific research.
- Students will be able to explain and discuss basic statistical analysis to both technical and non-technical audiences in likely professional situations.
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