Question

Topic: "Does the implementation of health informatics increase the level of care given to patients?"

Discuss the value of how descriptive statistics can help to understand data. When would you use descriptive statistics and why would you choose it? In your own research project, for what variable(s) would you use descriptive statistics and why.

Design a basic study using either correlation or regression. How would you conduct the study and why? What variables would you use and why? After you design your study, make up some data and design a table or two to display your information.

Answer 1

• In Descriptive Statistics your are describing, presenting, summarizing and organizing your data (population), either through numerical calculations or graphs or tables.
• 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 help us to simplify large amounts of data in a sensible way. Each descriptive statistic reduces lots of data into a simpler summary.
• Descriptive statistics are very important because if we simply presented our raw data it would be hard to visulize what the data was showing, especially if there was a lot of it. Descriptive statistics therefore enables us to present the data in a more meaningful way, which allows simpler interpretation of the data. Descriptive statistics provide a powerful summary that may enable comparisons across people or other units.
• In this Topic, we are trying determine whether the implementation of health informatics has increased the level of care given to the patient. Here,we need a large sample and from them we collect informations. These data has to be plotted as a table or graph using descriptive statistic which enable us to understand the data in a better way.