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Besides being a presentation of general statistics, this book's purpose is to show, in a general fashion, how quantified real estate information can assist in the evaluation of both the internal and market forces affecting the value of real estate. The book concludes with a brief summary of techniques, along with suggestions on how individuals or agencies can best use them. An appendix lists available software together with hardware requirements. Business Information AlertStatistics are an undisputed tool in the field of real estate science. Those measuring neighborhood change, economic value, and market effects have long relied on statistics to predict fluctuations and variances in the value of real estate more accurately. The purpose of this book is not to cover similar ground, however, but to show in a more general fashion how quantified real estate information can assist in the evaluation of both the internal and market forces affecting the value of real estate.From a general presentation on the use of statistics designed to make the reader comfortable with language and procedures, the book goes on to cover such topics as descriptive statistics, index construction, probability, normal distribution, sampling, and inferential statistics, as well as correlation and regression techniques, allowing for more complex statistical analyses. The book concludes with a brief summary of techniques covered, along with suggestions on how individual real estate agents or agencies can proceed with the most basic, yet useful analyses. An appendix documents the types of software available for analyses to be performed on personal computers together with their hardware requirements. Statistics for Real Estate Professionals will be of particular value to real estate agents and specialists who seek a practical understanding of how statistics can improve the analysis of real estate data.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer,
birth defects, or other reproductive harm.
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