Analyzing variability with descriptive statistics, probability models, and distribution functions. Inference:
This book’s philosophy is a significant departure from conventional statistics education: modern statistics a computer-based approach with python pdf
To illustrate how elegant a computer-based approach is, consider a standard linear regression analysis. In the past, calculating the slope, intercept, R-squared value, and p-values required tedious summation formulas. Analyzing variability with descriptive statistics
: The "3Vs" (Volume, Velocity, Variety) of big data require scalable procedures like subsampling and "divide and conquer" algorithms. From Formulas to Simulators calculating the slope
: Visualizing complex multidimensional data through code helps identify trends, outliers, and patterns that formulas alone might miss. The Python Statistical Ecosystem
: Extensive use of numpy , pandas , matplotlib , and scipy for data manipulation, visualization, and specialized statistical tests.