Descriptive Analysis of Statistical Data - 3004 Words

Final Project: Statistics II Descriptive analysis of statistical data INTRODUCTION There have always been crimes, from a treachery to an assassination. Happens in every country you can think of, and every government has to deal with it. It is really stressful to try to understand the nature of the crimes: why are they done and where could they happen next. Out of this preoccupation is that we found studies gathering data from communities; we focused on one specific crime: murders. In several communities, it is thought that the murder rate is somehow related to several factors. For instance, it is common to hear that the murder rate depends on poverty and unemployment. Starting from this hypothesis, the database found to make this†¦show more content†¦Now we are using the equation given at the partial F test. It is common that some times one of the independent variables (in this case, percentage of families with income below $5000 and percentage people unemployed) may be linearly related with another independent variable. In other words, there may be a pair of explanatory (independent) variables that measure the same thing or that they depend on each other, so it is recommended to drop one of them because having both causes instability in the model. This means that the equation wouldn’t be as precise as it should. This issue is called multicollinearity. To prove if this is the case in our study, we calculated some numbers called correlation coefficients and variance inflation factors. Basically, the rule is that if one of the correlation coefficient between a pair of explanatory variables is higher than 0.9 there is evidence of multicollinearity. Another criteria is that if the variance inflation factor of each explanatory variable is higher than 10, there is a case of multicollinearity, as well. In our study, multicollinearity was not an issue. Another issue when having more than 1 independent variable as predictors is that the presence of one of them may affect the prediction capacity of the other. For being sure that this wasn’t happening, we proceeded to perform a stepwise procedure. In this procedure one variable is entered to the equation at a time, andShow MoreRelatedBUS 308 Week 5 Final Paper1141 Words   |  5 Pagesinformed decisions that are supported by the analysis results. Statistics as a discipline is the application and development of various processes put in place to gather, interpret, and analyse the information. The quantification of biological, social, and scientific phenomenons, design and analysis of experiments and surveys, and application of the statistical principles are all statistical procedures that are more advanced in nature. Even though the data can be applied to several areas of the humanRead More1. What Are Descriptive Statistics and How Do They Differ from Inferential Statistics?10 00 Words   |  4 PagesWhat are descriptive statistics and how do they differ from inferential statistics? INTRODUCTION Statistical procedures can be divided into two major categories: descriptive statistics and inferential statistics. Typically, in most research conducted on groups of people, you will use both descriptive and inferential statistics to analyse your results and draw conclusions. So what are descriptive and inferential statistics? 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