Once data is collected, it needs to be analyzed in a meaningful and useful way. Techniques for data analysis and interpretation include descriptive statistics, regression analysis, and pattern recognition.
Once data is collected, it needs to be analyzed in a meaningful and useful way. Techniques for data analysis and interpretation include descriptive statistics, regression analysis, and pattern recognition.