Applied Statistics in python

Applied Statistics in pytho
Exam question list
Basic python library for data science : numpy, scipy, pandas, scikit-learn, matplot, etc.. The purposes, features and basic functions
Basic measures of central tendency : mode, median, mean, variance, stantard deviation. Meaning and the formula. Correlation and covariance.
Confidence interval. What is confidence level; the formula based on sigma known and unknown(population mean); population proportion; how to define the sample size;
Probability distribution. Uniform distribution; binomial distribution;
Bayes statistics. Description; formula; prior; posterior; and the difference with frequentist models.
Hypothesis testing. general process; different types and its meaning; different test model and key features ;
Regression analysis: simple linear regression model; multiple regression model; input and output; the general process; Extend regression algorithms and its description
Clustering analysis. The key features; input and output; K-mean algorithm(or formula and process); other extend algorithms(description, input/output, key features, process)
Classification analysis. The key features; input and output; decision tree algorithm(or formula and process); other extend algorithms(description, input/output, key features, process)

Get 2 questions, 1th from Q1-Q6( less than half page), 2th from Q7- Q9(less than 1 page)