Lite Statistics with Basic Steps in Python Programming Language

Hypothesis Hypothesis testing Frequency Using Python Sample and Population Type I Error and Type II Error Measuring the Central Tendencies (mean, median, and mode), and Range Using Python Geometric Mean Using Python Grand Mean Using Python Harmonic Mean Using Python Mean Deviation Using Python Mean Difference Using Python Root mean square Using Python Sample mean and population mean Types of data in statistics Data Collection and its types Sampling plan Sampling Methods Required Sample Size Using Python Simple Random Sampling Cluster Sampling Stratified Sampling Graphs and Plots Bar Graph Using Python Pie Chart Using Python Scatter plot or Bubble chart Different patterns of data in bubble charts Using Python Dot plot Using Python Matrix plot Using Python Pareto Chart Using Python Histogram Using Python Stem and Leaf plot Using Python Box plot Using Python Outlier Using Python Quantile Using Python Standard deviation and Variance Using Python Range Rule of Thumb Probability Bayesian statistics Using Python Reliability Coefficient Cohen's Kappa Coefficient Using Python Fleiss’ Kappa Coefficient Using Python Cronbach's alpha Using Python Coefficient of variation Using Python Chebyshev's Theorem Using Python Factorial Using Python Distribution, and Standardization Using Python Prediction interval Using Python Tolerance interval Using Python Parameters to describe the form of a distribution Skewness Kurtosis Using Python Different functions of distributions Probability Density Function Using Python Cumulative Distribution Function Using Python Types of Distribution Binomial Distribution Using Python Chi-squared Distribution Using Python Continuous Uniform Distribution Using Python Cumulative Poisson Distribution Using Python Exponential Distribution Using Python Normal Distribution Using Python Poisson Distribution Using Python Beta Distribution Using Python F Distribution Using Python Gamma Distribution Using Python Negative Binomial Distribution Using Python Gumbel Distribution Using Python Hypergeometric Distribution Using Python Inverse Gamma Distribution Using Python Log Gamma Distribution Using Python Laplace Distribution Using Python Geometric Distribution Using Python Level of Significance and confidence level Statistical Estimation Interval Estimation Using Python Best Point estimation Using Python Correlation Central Limit Theorem Standard Error of the Mean Using Python Statistical Significance Tests for Non-normally distributed data One tail and two tail tests Mood’s Median Test Using Python Goodness of Fit Chi-square test Using Python McNemar Test Using Python Kolmogorov-Smirnov Test (KS-Test) Using Python One-tailed test, two-tailed test, and Wilcoxon Rank Sum Test / Mann Whitney U Test Using Python The Sign Test Using Python Wilcoxon Signed Rank Test Using Python The Kruskal-Wallis Test Using Python Degrees of Freedom The Friedman Test Using Python Tests for Normally distributed data Unpaired “t” test Using Python Paired “t” test Using Python Analysis of Variance (ANOVA) Sum of Squares Residual Sum of Squares One way ANOVA Using Python Two way ANOVA Using Python Different types of ANOVAs Using Python – General MANOVA Factor Analysis Path Analysis Structural Equation Modeling Effect size Using Python Odds Ratio and Mantel-Haenszel Odds Ratio Using Python Correlation Coefficient Using Python R-squared and Adjusted R-squared Regression Analysis Using Python Logistic Regression Using Python Black-Scholes model Using Python Combination Using Python Permutation Using Python Even and Odd Permutations Circular Permutation Survival Analysis Kaplan-Meier method Using Python Bonus Topics Most commonly used non-normal distributions in health, education, and social sciences Circular permutation in Nature Time Series Using Python Monte Carlo Simulation Density Estimation Decision Tree Meta-analysis Important Statistical Techniques/Procedures used in Medical Research