Describe how statistics and graphical representation of data are used in data analytics in order to make decisions about health care.
Statistics are the mathematical calculation of the outcome of an activity or experiment.
Graphical representation of data is the form of exhibiting the data in pie graphs, bar graph, histogram etc for the purpose of easy understanding and giving summary with simple graph.
Statistics and graphical representation data are used in the data analysis in order to make decisions about health care.
For example if we treated the diabetes with insulin, oral anti diabetic drugs, or with nutritional therapy,
We can calculate the average results of the each of the the treatment affect using statistics like by using mean, median, mode and standard deviation.
After calculating the results or outcome of the each therapeutic activity, we can show it in the bar graph which will represents the over all outcome of each therapeutic measures.
And we can easily validate the results of each activity by setting the graph.
If the treatment choices are not effective, we can go for another therapeutic measure. In such as way statistics and graphs held in the decision making about health care
Describe how statistics and graphical representation of data are used in data analytics in order to...
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