Normal Distribution Essay

Total Length: 658 words ( 2 double-spaced pages)

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Probability and Normal Distribution

In the study of statistics, probability is a key concept that illustrates and describes the randomness and likelihood of an event from happening given the number of ways it can happen and the number of outcomes that this event could probably happen. That is, probability in statistics helps determine how likely an event is going to happen, as the certainty of the event happening cannot be determined specifically and how many times, but the likelihood of it happening can be determined. Using probability for the researcher, statistician or business decision-maker would mean going through all possible outcomes for an event or outcome to happen. Randomness and probability makes it possible for an event to not happen at all; or there is an even chance that the event may or may not happen; but there is also a likelihood that the event could happen after all. These are the choices the individual has when s/he is operating under the principle of probability and randomness.
There are different kinds of probabilities: theoretical probability, relative frequency or experimental probability, and personal or subjective probability. Theoretical probability is based on the classical use of a die or coin to determine the likely outcomes of an event from happening and taking note of the actual number of times the event or outcome did occur. Relative frequency of experimental probability takes into account that the potential number of possible outcomes that an event is going to happen is dependent on the number of trials or times an action was done, and the number of times the expected event or outcome happened. Lastly, personal or subjective probability is the kind of probability that is not calculated but simply, personally expected as a result of the individual's own knowledge and/or feelings about the event and its possible outcomes given specific circumstances. This probability is not as mathematical as the other kinds of probabilities, but this is also based on the experience of the….....

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