What are thresholds in data analysis?
An example of an AI chatbot conversation about thresholds in data analysis.
What are thresholds in data analysis?
Thresholds in data analysis refer to specific values that determine how data is categorized or acted upon.
Can you give me an example of how thresholds are used?
Sure! In medical testing, a threshold might determine whether a test result is considered positive or negative.
How do you set a threshold value?
Threshold values can be set based on statistical analysis, historical data, or specific criteria relevant to the study.
What happens if the threshold is set too high or too low?
If set too high, you might miss important data; if too low, you could get false positives.
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