12.07.2015 Views

Stat 5101 Lecture Notes - School of Statistics

Stat 5101 Lecture Notes - School of Statistics

Stat 5101 Lecture Notes - School of Statistics

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

Chapter 1Random Variables andChange <strong>of</strong> Variables1.1 Random Variables1.1.1 VariablesBefore we tackle random variables, it is best to be sure we are clear aboutthe notion <strong>of</strong> a mathematical variable. A variable is a symbol that stands foran unspecified mathematical object, like x in the expression x 2 +2x+1.Often, it is clear from the context what kind <strong>of</strong> object the variable stands for.In this example, x can be any real number. But not all variables are numerical.We will also use vector variables and variables taking values in arbitrary sets.Thus, when being fussy, we specify the kind <strong>of</strong> mathematical objects a variablecan symbolize. We do this by specifying the set <strong>of</strong> objects which are possiblevalues <strong>of</strong> the variable. For example, we writex 2 +2x+1=(x+1) 2 , x ∈ R,to show that the equality holds for any real number x, the symbol R indicatingthe set <strong>of</strong> all real numbers.1.1.2 FunctionsIn elementary mathematics, through first year calculus, textbooks, teachers,and students are <strong>of</strong>ten a bit vague about the notion <strong>of</strong> a function, not distinguishingbetween a function, the value <strong>of</strong> a function, the graph <strong>of</strong> a function,or an expression defining a function. In higher mathematics, we are sometimesjust as vague when it is clear from the context what is meant, but when clarityis needed, especially in formal definitions, we are careful to distinguish betweenthese concepts.1

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!