Probability Chapter 3 Probability3.1 Sample Space and Events sample space 样本空间 In statistics, a set of all possible outcomes of an experiment is called a sample space denoted by S has finite outcomes: finite 2021-03-10 概率论 概率论
Probability distribution Chapter 4 Probability distribution4.1 Random variable Random variables are denoted by capital letters $X$, $Y$ and $Z$ so on, to distinguish them from their possible values given in lowercase $x$, $y 2021-03-10 概率论 概率论
Probability densities T Chapter 5 Probability Densities5.1 Continuous random variables probability density function Let $X$ be a continuous random variable, Then a probability density of $X$ is a function $f(x)$ such that 2021-03-10 概率论 概率论
Sampling Distribution T Chapter 6 Sampling Distributions6.1 Populations and Samples A (statistical) population refers to sets of numbers, measurements, or observations under investigation. A sample is a part of a populati 2021-03-10 概率论 概率论
Inferences Concerning a Mean T Chapter 7 Inferences Concerning a Mean7.1 Statistical Approaches to Making Generalization Background Statistical inference arises whenever we need to make generalizations about a population on the b 2021-03-10 概率论 概率论