Analysis of information
The analysis in this report relied heavily on excel models. These consisted of a series of spreadsheet-based data input tables that allowed data to be collected in a systematic manner.
5.8.10 Descriptive statistics:
Descriptive statistics are used to describe the basic features of the data in a study. 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.
Descriptive statistics are typically distinguished from inferential statistics. With descriptive statistics you are simply describing what is or what the data shows. With inferential statistics, you are trying to reach conclusions that extend beyond
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They provided a quick snap short of the current situation of the bank by presenting the long term customer relationship, customer satisfaction and loyalty. They also facilitated comparison of performance over time and show trend lines and changes in significant aspects of the bank‘s operations and performance.
Charts are often used to ease understanding of large quantities of data and the relationships between parts of the data. Charts can usually be read more quickly than the raw data that they are produced from. They are used in a wide variety of fields, and can be created by hand (often on graph paper) or by computer using a charting application. Certain types of charts are more useful for presenting a given data set than others.
5.9 Analytical tools:
The following analytical tools will be used in this study to analyze and interpret the data.
5.9.1 Co-relation
Correlation is a statistical measure that indicates the extent to which two or more variables fluctuate together. A positive correlation indicates the extent to which those variables increase or decrease in parallel; a negative correlation indicates the extent to which one variable increases as the other