Statistics And Research Design Relation – Coursework Example

Research design is the formulation of a research plan, which would be used to gain further insight into a situation, ultimately allowing us to make amore informed decision. While, statistics is the science of collecting, organizing, presenting, analyzing, and interpreting data in order to achieve that more informed decision. The two important features of a research design is a construct and its benchmark. A construct is image that is invented specifically for constructing a theory. The benchmark is a means measuring the best practices that would lead to an increment of the desired quantity.
The relation between statistics and research design can be best understood through an example. A telephone company wishes to increase its telephone line sales. The research design was designed in which the constructs were install time frame, sales activity level, pricing and customer service quality. That is these constructs were to be the basis of evaluation while the benchmark is a measure of comparison to the needed values. The benchmark were a preset percentage of orders installed in a given time frame, the sales activity was set as at least 10 new installations per week, the pricing was to be 10 percent below SBC, the response time to customer query was benchmarked at 2 hours. The sampling period was set to be of 4 months. The company had set benchmarks for the variables for which the data was to be collected. The data collected for each of the variables would then be compared to the set benchmarks. Before the data collected can be compared it has to be analyzed and interpreted. This is where the immense importance of statistical procedure within a research design is felt. The statistical technique used must accurately represent the data collected and should result in minimum information loss. Through this example it is clear that research design and statistical analysis in fact complement each other. It can be inferred that both research design and statistics have close links with each other. Both define each other.
Bibliography
Peers, I. (1996). Statistical Analysis for Education and Psychology Researchers. Routledge.