Mass Appraisal

MASS APPRAISAL Table of Content *1, Introduction……………………………………………………………..*1 2, Discussion………………………………………………………………2 2.1 Examining and testing Normality of the data…………………………………3 *2.2 Assessment on *the performance of an assessment*…*………………………4 2.2.1 Testing the level of appraisal for the assessment…………………………..5 2.2.2 Measures of variability…………………………………………………………5 2.2.3 Examining Assessment Bias…………………………………………….…….6 2.2.4 Kruskal Wallis test for within Submarket group equity…………………..….6 *3 Conclusion*………………………………………………………………7 4 Reference…………………………………………………………………8 1 Introduction The analyses will firstly using data set (camp2007fysales.xls) to examine and test the Normality of the data, and then the appraisal uniformity and measures of assessment bias will be considered, finally the secondly capital value data set (camplaterfysales.xls) will be used to identify that there is any evidence regarding to sale chasing. 2 Discussions 2.1 Examining and testing Normality of the data Marano stated that once the assessment sales data has been validated, Stratified, checked for representativeness and adequate sample size the first thing to do in the statistical analysis phase is to determine the a/s ratios for each strata and determine if they satisfy the requirements of a normal distribution. If the ratios are normally distributed then parametric statistics should be used and if they are not then a non parametric statistics should be used (2008). However, in order to determine if a sample or any group of data fits a standard normal distribution, the histogram and the Normal Probability Plot are the simplest ways to check whether or not it is reasonable to assume that the random errors inherent in the process have been drawn from a normal distribution. Referring to this case, the frequency distribution histogram will be carried out to give a good visual but we still cannot allow to a robust decision to be made, therefore a normal