Interpretation of research data: exploratory data analysis.
The organization and presentation of research data is discussed, with emphasis on tabular arrays, frequency distributions, graphs, and diagrams. Data can be summarized by using various descriptive statistics, including mean, median, mode, range, variance, and standard deviation. Basic principles of data interpretation are reviewed, including how to handle regative results.
D003625:Data Collection / Q000379:methods*; D012107:Research Design; D013223:Statistics as Topic