Basic concepts

Notation:

Set intersection of two sets A and B denoted by A B is the subset of A or B that contains all elements that are in both A and B, i.e. A B := { x : x in A and x in B}.

Set union of two sets A and B denoted by A B is the set that contains precisely the elements that are in A or in B, i.e A B := { x : x in A or x in B}.

Set difference of the two sets A and B denoted by A – B or AB is the subset of A that contains all elements in A that are not in B, i.e. A – B := { x : x in A and x not in B}.

Summation symbol represents the sum of all members over the set, e.g.:

Definitions and terms:

  • Population: A set of the similar data or items subject to the analysis.
  • Sample: A subset of the population.
  • Arithmetic mean (average) of a set: The sum of all the values in the set divided by the size of the set
  • Median: The middle value in an ordered set, for example, the median of the set {x1, …, x2k+1} where x1 <…< x2k+1 is the value xk+1.
  • Random variable: A function from the set of possible outcomes to the set of the values (for example, real numbers).
  • Expectation: An expectation of a random variable is the limit of the average values of the increasing sets of the values given by the random variable.
  • Variance: Measures the dispersion of the population from its mean. Mathematically, the variance of a random variable X is the expected value of the square of the difference between the random variable and the mean μ of X, i.e. Var(X) = E[(X - μ)2].
  • Standard deviation: The deviation of the random variable X is the square root of the variation of the variable X, i.e. SD(X)=sqrt(Var(X)).
  • Correlation: The measure of the dependency between the random variables. Mathematically, for the random variables X and Y, the correlation is defined as corr(X,Y) = E[(X - μX) * (Y-μY)]/(SD(X) * SD(Y)).
  • Causation: A dependence relation explaining the occurrence of one phenomena through the occurrence of another phenomena. Causation implies correlation, but not vice versa!
  • Slope: The variable a in the linear equation y=a*x+b.
  • Intercept: The variable b in the linear equation y=a*x+b.
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