Duration
1 day
Introduction
- Introduction to Bayesian
- The Python Statistics Landscape
- Intermediate Python Concepts: Lists vs Numpy Arrays
- Functions and Lambda Functions
- Estimating a Population Proportion with Confidence
- Understanding Confidence Intervals
- Assumptions for a Single Population Proportion Confidence Interval
- Conservative Approach & Sample Size Consideration
- Estimating a Difference in Population Proportions with Confidence
- Interpretations & Assumptions for Two Population Proportion Intervals
- Estimating a Population Mean with Confidence
- Estimating a Mean Difference for Paired Data
- Estimating a Difference in Population Means with Confidence (for Independent Groups)
- Introduction to Confidence Intervals in Python
- Confidence Intervals for Differences between Population Parameters
- Setting Up a Test for a Population Proportion
- Testing a One Population Proportion
- Setting Up a Test of Difference in Population Proportions
- Testing a Difference in Population Proportions
- Interview: P-Values, P-Hacking and More
- One Mean: Testing about a Population Mean with Confidence
- Testing a Population Mean Difference
- Testing for a Difference in Population Means (for Independent Groups)
- Introduction to Hypothesis Testing in Python
- Comparing Means for Two Independent Samples
- Comparing Means for Two Paired Samples
- Comparing Proportions for Two Independent Samples
Statistical tests in python
- Chi-Squared Test
- Student’s t-test
- Analysis of Variance Test (ANOVA)
- Shapiro-Wilk Test
- D’Agostino’s K^2 Test
- Pearson’s Correlation Coefficient
- Wilcoxon Signed Rank Test
- Spearman’s Rank Correlation
- Kruskal-Wallis H Test
- Friedman Test
Programme scope, delivery arrangements and suitability are confirmed during enquiry.