Content provided by: Jim Nuyens..-thx Jim!
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Preface What is Statistics?
Chapter 1 Descriptive statistics / Graphs and Charts / Visualization of data sets
Chapter 2 Measures of central tendency / Measures of dispersion and of position / Boxplots
Chapter 3 Basic probability / probability laws /probability in everyday life
Chapter 4 Probability distributions / the right mathematical model for the right situation
Chapter 5 Binomial Probability Distributions / Poisson distribution / Uniform distribution
Chapter 6 Normal probability distributions / standard normal probability distribution
Chapter 7 Applications of the normal distribution / theory meets practice
Chapter 8 The Central Limit Theorem (CLT) / so important it gets an anagram
Chapter 9 Estimates and Sample Sizes / preparation for a survey or sample
Chapter 10 Hypothesis Testing / testing a claim about a population
Chapter 11 Testing a claim about a proportion/ testing a claim about a standard deviation
Chapter 12 Tests comparing two parameters
Chapter 13 Linear correlation / Linear regression
Chapter 14 Comparisons among several samples / Chi-square testing
Chapter 15 Organization and procedures of a Survey / Sampling and data analysis
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