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Probability and Statistics
Set Theory and Venn Diagrams, Relative Frequency, Sample Space, Events, Conditional Probability
Independent Events, Mutually Exclusive Events, Counting Methods, Factorials, Permutations, Combinations
The Binomial Theorem, Discrete Random Variables, Continuous Random Variables
Probability Distribution, The Normal Distribution and Normal Curve, Histograms, Percentiles,....more.

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Probability Introduction
Probability is the study of random situations. It involves the chances of an event occurring.
Relative Frequency, f of an event E in an experiment is, the ratio of the number of occurrences of that particular event to the number of times the experiment is performed.
For a die tossed N times, let s be the number of times an ace occurs. f(E) = s/N. Probability of the event P(E) is an ideal ratio depicting the relative frequency. The probability experiment is a specific set of actions in which the results are not able to be predicted with certainty.

Sample Space
If each outcome of an experiment is represented by a unique element and each element represents a unique outcome, the set of outcomes S for that particular experiment is called a sample space. The sample space is determined by what an observer chooses to record. More than one sample space is possible for a given experiment. The best way to determine a sample space for any particular experiment is to first figure out the likely occurrences.

Events
Previously we mentioned that a sample space is a set of possible outcomes. An event in probability is a subset to a special kind of set called a sample space. From the experiment of tossing a coin twice, recall that the sample space was S = {TT, TH, HT, HH}. The event of having heads on the second toss would be {TH, HH}. The event of having heads on both tosses would be {HH}. The event of having at least one tail would be {TT, TH, HT} and so on.

A Game with Random Numbers

Example
A coin is tossed twice.
  (a) Indicate a sample space for this experiment.
  (b) Indicate also a sample space for the number of 
       heads obtained.
Solution
(a)
A coin has two sides, heads and tails. If the coin is tossed once, then either H (heads) or T (tails) could occur. If it is tossed twice, both heads could occur. Both tails could occur also. Likewise, either heads or tails could occur on either toss. The appropriate sample space S for this experiment would be the set of possible outcomes, being S = {TT, HH, TH, HT}. Both letters together represent the possibilities of the first and second toss.
(b) For the number of heads, there could be 1 (one) on the first toss and 1 on the second, making it 2 heads. There could also be 1 on the first and 0 (none) on the second. Vice versa, there could be 0 on the first and 1 on the second. There could even be 0 on both tosses. The sample space then for this would be S = {2, 1, 0}.

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