What Control is
In statistics, control is the process of making sure that the data being collected and analyzed is as accurate and unbiased as possible. This is done by establishing a framework of policies and procedures that ensure that the data is collected correctly and that the data is analyzed correctly.
The following are some steps for establishing control in data collection and analysis:
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Establish clear definitions of the variables to be measured.
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Make sure the data collection process is standardized and consistent.
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Create protocols for data entry, storage, and manipulation.
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Use appropriate statistical tests to analyze the data.
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Review the results of the tests and adjust the data collection and analysis process as needed.
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Have the results of the tests reviewed by peers or experts in the field.
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Document the results and the process used to obtain them.
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Monitor the results to ensure that any changes in the data or analysis process do not affect the results.
Examples
- Quality Control: Using statistical sampling and analysis to monitor and control the quality of a product or service.
- Process Control: Using statistical process control to measure and monitor process performance and identify process adjustments needed to ensure desired outcomes.
- Risk Control: Using statistical analysis to identify and control risks associated with a particular project or activity.
- Cost Control: Using statistical cost analysis to identify and control costs associated with a particular project or activity.
- Inventory Control: Using statistical analysis to identify and control inventory levels for a particular product or service.