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Our Analysis and ValuationDuring the report preparation by GMRI Capital, the data analysis involves three major steps, which are:Cleaning up and organizing the data for analysis (Data Preparation) Describing the data (Descriptive Statistics) Testing Hypotheses and Models (Inferential Statistics) Data Preparation involves checking the integrity and logging the data in; checking the data for accuracy; entering the data into the computer; transforming the data; and developing and documenting a database structure that integrates the various measures. This process leads to conversion of mere data into useful and valuable information. Descriptive Statistics are used to describe the basic features of the data in the client data package which is being analysed. They provide simple summaries about the sample and the measures. Together with simple graphics analysis, they form the basis of virtually every quantitative analysis of data. With descriptive statistics you are simply describing what is, what the data shows. Inferential Statistics investigate questions, models and hypotheses. In many cases, the conclusions from inferential statistics extend beyond the immediate data alone. For instance, we use inferential statistics to try to infer from the sample data . GMRI Capital uses inferential statistics to make inferences from our data to more general conditions; we use descriptive statistics simply to describe what's going on in our data. Descriptions of how the data were prepared tend to be brief and to focus on only the more unique aspects to the study, such as specific data transformations that are performed. In our client reports, these are carefully selected and organized into summary tables and graphs that only show the most relevant or important information. We try to avoid presenting too much detail, which the client may not be able to follow the central line of the results. GMRI Capital provides detailed reports whilst keeping them length reasonable |
