A variety of statistical methods are employed in nanotechnology research:
- Descriptive Statistics: These methods summarize data using measures like mean, median, mode, and standard deviation. They provide an overview of the data's central tendency and dispersion. - Inferential Statistics: Techniques such as hypothesis testing, confidence intervals, and regression analysis help in drawing conclusions about a population based on sample data. - Multivariate Analysis: Methods like Principal Component Analysis (PCA) and Cluster Analysis are used to handle datasets with multiple variables, identifying patterns and relationships within the data.
