Domain and range - Those lucky x values for which the function assigns something, are called the Domain, and the part of the y axis that is assigned to the x values is called the Image, or the Range.
Events - Let's start with a very simple thing. We have a die, roll it once, and see what kind of events could occur. We may roll a 1.It's also possible, that we roll a 2. Then, it is also possible that before the die stops, a meteorite hits Earth and destroys the die, along with the entire human civilization.
Independence - In probability theory, to say that two events are independent means that the occurrence of one does not affect the probability of the other.
Mutually exclusive events - Two events are mutually exclusive if they cannot occur at the same time.
Conditional probability - A given B it answers the question of what chance does A have, if B definitely occurs.
Total probability theorem - This formula is a fundamental rule relating marginal probabilities to conditional probabilities.
Bayes-theorem - We use this theorem if we want to calculate the probability of an earlier event (Bk) in light of a later occurring event (A).
Matrices - Matrices are really harmless creatures in mathematics. An nXk matrix is simply a rectangular array of numbers, arranged in n rows and k columns.
Matrix operations - Scalar multiplication, addition and multiplication.
Square and diagonal matrices - It is a square-shaped matrix with the same number of rows and columns.The diagonal matrix is a square matrix where all elements outside the main diagonal are zero.
Transpose - The transpose matrix is created by swapping the rows and the columns of the matrix
Complex cojugate - Geometrically, conjugation is a reflection about the real axis.
Fundamental theorem of algebra - One significant benefit of complex numbers is that using complex numbers, all polynomials can be factored into linear factors.