Final project should consist 3 main parts: -Introduction (basic information about data you work with). -Data analysis and presentation + discussion. -Conclusions and remarks. Analyzed data should have at least 3 sets of data points with minimum of 10 points for each set of data. Data presentation and analysis part should have following elements: - Hypothesis test for distribution type (e.g. if you assume that you have data with normal distribution you can perform One-sample Kolmogorov-Smirnov test ('ks test')) + distribution plot with your data. - Variance test ( assuming that you have data that can be characterized with normal distribution) e.g. Two-sample F-test between every combination of your data sets. -Adequate test for means equality (with respect to distribution type and variance test). -Mathematical model that describes dependence between data sets (e.g. linear model f(x) = ax+b with added prediction bounds). At least 5 pages (including graphics and text)