Several statistical tests and graphical methods can be used to assess the normality of a dataset:
Shapiro-Wilk Test: This test evaluates the null hypothesis that a sample comes from a normally distributed population. Kolmogorov-Smirnov Test: Another test that compares the sample distribution with the normal distribution. Q-Q Plots: Quantile-Quantile plots graphically compare the quantiles of the sample data with the quantiles of a normal distribution. Histograms: Visual inspection of histograms can also provide insights into the distribution pattern of the data.
