Statistical inference and probability

Table of Contents: 1. The challenge and promise of inference 2. Probability, randomness, probability distributions and sampling distributions 3. Bernoulli, Coke and Pepsi 4. Samples and Populations 5. Inference and Regression 6. Power, effect size and inverse probability 7. What does sound inference comprise?

This straightforward text breaks down the complex topic of inferential statistics abd probability with accessible language and detailed examples. It covers the range of essential and emerging topics, it offers guidance on the logic of hypothesis testing, including Type I and Type II errors, specificity, sensitivity, false negatives and positives; inverse probability, Bayes rule and estimating the power of study; the use and abuse of p-values. This book will give the know-how and confidence needed for a successful quantitative research journey.