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Essay / Research Paper Abstract
This 5 page paper looks at probability distribution, explaining what it is, how it can be calculated, different types of probability distribution and the way it may be applied. The bibliography cites 3 sources.
Page Count:
5 pages (~225 words per page)
File: TS14_TEpdistri.rtf
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Unformatted sample text from the term paper:
variables which are described form the basis of probability theory. The probability of almost anything can be measured in terms of the probability distribution, a normal distribution is where the
likelihood of a particular event can be represented by a bell shape curve on a graph, where the chances of the outcome for the middle values is much higher than
the outer values, as seen below. For normal distribution the chances that the value of the random variable will fall in each area is shown on the graph below.
Figure 1 Normal Distribution Graph (Dorland, 2009) This is a common pattern for probability distribution, but it is not the only pattern. The graph is formed by calculation of
the probabilities. 2. Probability distribution To calculate the probability distribution an even can be considered and the potential outcomes measured. For example, the tossing of a coin; a coin has two
sides and as long as the coin has not been tampered with, when the coin is thrown into the air there are two mutually exclusive potential outcomes (Curwin and Slater,
2003). If we want to express this as a fraction this is simple, we have only 1 outcome possible, this means that the figure above the line is a one,
and there are two possible outcomes, this means the number below the line is 2, giving us 1/2. This is one outcome divided by two potential outcomes.
To give the overall probability of the outcome being either heads or tails is the result of this division. There is a 0.5 chance that the
coin will land on heads, or a 0.5 chance that the coin will land on tails. To gain the percentage chance this can be multiplied by 100, but probabilities are
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