Describe underlying concepts and reasoning related to the collection and evaluation of quantitative data in health care research.

A demographic table can be created and used to interpret it.

The use of statistical analysis methods is a key component of the understanding and reasoning behind the evaluation and collection of quantitative data for health care research. A lot of this involves gathering numerical information from patients records, surveys or clinical trials. These data can be used for drawing conclusions about specific populations and groups. Quantitative information provides valuable insight into the effects of certain treatments on a particular population. It is crucial to evaluate quantitative data in order to understand trends and provide evidence-based research which can be used as a guide for healthcare policy and practice.

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