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Essay / Research Paper Abstract
This is an 8 page paper that provides an overview of probability and statistics. Concepts like mean, standard deviation, and probability are explored. Bibliography lists 0 sources.
Page Count:
8 pages (~225 words per page)
File: KW60_KFpsy032.doc
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Unformatted sample text from the term paper:
Mean in statistics refers to the "average" of a set of data. To calculate mean, one simply adds up the total of each of the units of data in a
set, and then divides that sum by the total number of units in the set. For instance, adding the above instances of data together, one gets the following sum:
2 + 2 + 0 + 5 + 1 + 4 + 1 + 3 + 0 + 0 + 1 + 4 + 4 + 0 + 1 +
4 + 3 + 4 + 2 + 1 + 0 = 42 Then, one divides 41 by 21 (the number of instances of data in the set), to
find the mean: 42 / 21 = 2 Mean = 2 Median in statistics refers to the value that comes in the middle of a sequentially arranged
set of data. To calculate the median of the above set, one should arrange each instance of data in a sequential fashion: 0, 0, 0, 0, 0, 1,
1, 1, 1, 1, 2, 2, 2, 3, 3, 4, 4, 4, 4, 4, 5 One then chooses the middle value out of the set, which in this case
is 2. Median = 2 Other useful statistical calculations that can be performed upon a set of data is determining the degree to which each instance of data
varies from the mean, as well as what the "standard deviation" is. A "standard deviation" is a measurement that can help one to determine whether an instance of datas deviation
from a mean is statistically likely to be chance or a truly significant deviation. The first step is to calculate the sum of squared deviations. To do this,
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