## An Introduction to Statistical Problem Solving in GeographyGeography students need a solid introduction to the variety of ways in which statistical procedures are used to explore and to solve realistic geographic problems. This book is designed to provide a comprehensive and understandable introduction to statistical methods in a practical, problem solving framework. Students who use this text in a spatial analysis or statistical methods course will acquire a well-grounded foundation and feel comfortable in applying statistical techniques in research problems or situations that they might encounter in their subsequent geographic education and careers. This book is targeted for undergraduate geography majors and beginning graduate students who do not have a strong background in statistical approaches to geographic problem solving. |

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### Contents

THE CONTEXT | 3 |

CHARACTERISTICS | 16 |

DESCRIPTIVE STATISTICS | 37 |

Copyright | |

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ANOVA applied appropriate area pattern analysis association average black-white joins calculated cell chapter chi-square choropleth map clustered confidence interval contingency analysis correlation coefficient covariation data values dependent variable descriptive statistics determine difference of means difference of proportions difference test dispersed distance from Lake equal equation estimate example expected frequency counts expected number farm acreage figure frequency distribution geographic problems goodness-of-fit home purchase prices independent inferential interval/ratio Kruskal-Wallis Kruskal-Wallis test kurtosis level of measurement locations matched-pairs mean center measure median method neighborhood normally distributed null hypothesis number of black-white one-sample difference one-tailed ordinal p-value parametric percent point pattern precipitation probability procedure quency random sample rank sum region regression line rejected relationship relative frequency residual sample data sample means sample statistic scattergram selected significant Snowbelt snowfall spatial pattern standard deviation standard error study area technique test statistic tion tornadoes total number two-sample difference two-tailed variation Wilcoxon