Geography 370 Quantitative Methods

Goals: The goal of this assignment was to become familiar with correlation and spatial autocorrelation. More specifically, the goals were as follows. Creating a scatterplot in Microsoft Excel Running a correlation using SPSS software. Interpreting Correlation from a scatterplot and SPSS outputs Using the US census site to download data and shapefiles Identify GEOIDs from census data Join Census data to other data Creating a report to connect the data Methods:  The first portion of the assignment focused on correlation. Correlation is a measurement of the relationship between variables measured on a scale from -1 to 1. Negative values indicate negative correlation, meaning as one value increases, the other decreases. Positive values indicate positive correlation, meaning as one value increases so does the other. The closer the value is to 1 or -1, the stronger the correlation is. Using data that was provided, a scatterplot was created in Microsoft Excel showing ...

Purpose: The purpose of this assignment is to practice hypothesis testing using Z and T statistical tests. The goals of the assignment may be broken down as follows Goals To distinguish between a Z and T test and understand which to use for a given situation To calculate a Z or T score  To understand the steps of Hypothesis Testing Use results to make a decisions regarding the null hypothesis Practice with using real world data.  _________________________________________________________________________________ Terms: The following are terms related to the statistical methods used in this assignment Steps of Hypothesis Testing- State the null hypothesis State the alternative hypothesis Choose a statistical test Choose the level of significance ( α) Calculate the statistics Make a decision about the null and alternative hypothesis Null Hypothesis - The null hypothesis is the hypothesis that suggest that there is No Change  between the hyp...

Introduction: The focus of this lab is using probability and Z-scores to investigate housing foreclosures in Dane County, WI between the years 2011 and 2012. For this scenario, I have been hired by an independent research consortium to spatially analyze foreclosures in Dane County. The group is concerned about the number of foreclosures and would like to see if a similar trend will occur in he following years.  The specific research questions for this project are  "Where have foreclosures occurred in 2011 and 2012?" and more specifically "What changes and spatial patterns can be observed in the foreclosure rate between the two years" ?    Figure 1 Location of Study Area in Wisconsin Data:   The data used in this project is census tract data for Dane County Wisconsin. Within the data are the foreclosure numbers per census tract for the years 2011 and 2012 Methodology:  This project usevariety of statistical and cartographic an...

Purpose: The purpose of this assignment is to practice using a variety of statistical methods and computer programs in real world scenarios. The first scenario involves analyzing test scores for two high schools in Eau Claire, Wisconsin to determine whether or not the school's teaching methods are effective. The second scenario involves using population data to find the Geographic and Population Mean centers for the state of Wisconsin. Scenario 1. I have been given a series of test scores to analyze by the Eau Claire Area School District. Traditionally one high school, Eau Claire Memorial, has had higher scores that the other school, Eau Claire North. This has led some to believe that the teaching methods at Eau Claire North are inferior and that Teachers who's students have lower scores should be fired. It is my job to use a variety of statistical methods to determine if this is the case The statistical methods used in this analysis are as follows Mean: The mean is ...

Ian Godin Geog 370 Assignment 1 Overview: This assignment serves as an introduction to statistical methods in geography. The first part of this assignment focuses on different classification methods and their uses. The second part of the assignment involves using these classification methods to represent data and make an accurate map Goals: The goals of this assignment are to Differentiate between levels of measurement Differentiate between classification methods Retrieving data from the U.S. Census and joining data Enhance cartographic knowledge _________________________________________________________________________________ Part 1: The first part of this assignment includes defining different classification methods and providing examples of each. The four methods described below include Nominal, Ordinal, Ratio and Interval data.  1. Nominal Data: Nominal data is any type of data that does not have a number value associated with it. This may inclu...