Nov 21, 2024  
OHIO University Undergraduate Catalog 2024-25 
    
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OHIO University Undergraduate Catalog 2024-25
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GEOG 2710 - Introduction to Statistics in Geography

Introduction to application of statistics in geography. Includes descriptive statistics, descriptive spatial statistics, normal, poisson and binomial probabilities, hypothesis testing, and inferential statistics through linear regression.

Requisites: MATH 1200 or higher or math placement level 2 or higher and WARNING: No credit for this course if ECON 3810 or MATH 2500 or QBA 2010 or PSY 2110 or both PSY 2111 and PSY 2112
Credit Hours: 3
OHIO BRICKS: Arch: Constructed World
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
Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
Learning Outcomes:
  • Students will be able explain statistical information presented in mathematical form, and connect these explanations to geographic problems and phenomena.
  • Students will be able to categorize and describe in mathematical form the fundamental characteristics of geographic data sets, and convert geographic information into various statistical representations, such as graphs, equations, tables, and words.
  • Students will be able to use geographic data to calculate and interpret measures of central tendency and dispersion, to describe the relationship between two variables using correlation coefficients and regression lines, and to compute probabilities.
  • Students will be able to perform chi-square tests, z-tests, t-tests, ANOVA, Mann-Whitney U tests, and simple linear regression appropriately for hypotheses testing, analyze the results, and interpret these results.
  • Students will be able to draw appropriate conclusions based on the quantitative analysis of spatial data, and describe the limits of this analysis in understanding geographic phenomena.
  • Students will be able to state important assumptions of statistical procedures and processes (such as t-tests, ANOVA, and chi-square tests) in the analysis of geographic data.
  • Students will be able to state conclusions and related outcomes regarding geographic phenomena, and express them using clearly communicated statistical evidence.
  • Students will be able to analyze the effects of contexts and assumptions in the production and availability of geographic data and consider the effects of this on the conclusions that they are able to draw.
  • Students will be able to describe a geographic problem or question and select appropriate statistical methods and evidence for the consideration of this problem or question.
  • Students will be able to cautiously use information and data sources with appropriate interpretation to develop a comprehensive analysis, describing the complexities and limitations of their position and these analyses.


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