Mathematics/Statistics/Distributions - Revision history

Brodriguez: Brodriguez moved page Statistics/Distributions to Mathematics/Statistics/Distributions

2020-10-25T17:21:07Z

Brodriguez moved page Statistics/Distributions to Mathematics/Statistics/Distributions

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Revision as of 17:21, 25 October 2020

Brodriguez: Brodriguez moved page Statistics - Distributions to Statistics/Distributions: Clean url with subpages

2020-05-15T08:52:07Z

Brodriguez moved page Statistics - Distributions to Statistics/Distributions: Clean url with subpages

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Revision as of 08:52, 15 May 2020

Brodriguez: Add more info

2020-05-14T00:57:31Z

Add more info

← Older revision		Revision as of 00:57, 14 May 2020
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			Also known as a '''Density Curve'''.

	A distribution of a data set is essentially a graph that shows all values of data and how often they occur.		A distribution of a data set is essentially a graph that shows all values of data and how often they occur.

	For an ordered data set, the x-axis denotes the values of the data. The y-axis denotes the frequency of each specific value.<br>		For an ordered data set, the x-axis denotes the values of the data. The y-axis denotes the frequency of each specific value.<br>
	Alternatively, if the distribution is trying to predict future outcomes, then the x-axis ~~still~~ denotes ~~values, but~~ the y-axis denotes the probability of that value occurring.		Alternatively, if the distribution is trying to predict future outcomes, then the x-axis denotes value and the y-axis denotes the probability of that value occurring.

	{{ ToDo \| Add more distributions. }}		{{ ToDo \| Add more distributions. }}

Brodriguez: Expand normal distribution info

2020-05-14T00:11:56Z

Expand normal distribution info

← Older revision		Revision as of 00:11, 14 May 2020
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	A distribution of a data set is essentially a graph that shows all values of data and how often they occur.		A distribution of a data set is essentially a graph that shows all values of data and how often they occur.

	For an ordered data set, the x-axis denotes the values of the data. The y-axis denotes the frequency of each specific value.		For an ordered data set, the x-axis denotes the values of the data. The y-axis denotes the frequency of each specific value.<br>
			Alternatively, if the distribution is trying to predict future outcomes, then the x-axis still denotes values, but the y-axis denotes the probability of that value occurring.

	{{ ToDo \| Add more distributions. }}		{{ ToDo \| Add more distributions. }}
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	== Normal Distribution ==		== Normal Distribution ==
	Also known as a ~~bell curve~~.		Also known as a '''Bell Curve''', or '''Gaussian Distribution'''.

	A normal distribution is based on continuous numerical data, ~~where~~ 68% of data ~~is centered around~~ the mean. ~~The~~ farther from the mean, the less frequently values occur~~. This distribution is symmetrical~~.		A normal distribution is based on continuous numerical data, and is always symmetrically centered around the average value, aka the mean.<br>
			The width of the curve is defined by the [[Statistics - Core Measurements#Standard Deviation\|standard deviation]] of the dataset.

			In a normal distribution, 68% of all data will fall between 1 standard deviation of the mean, and 95% of all data will fall between 2 standard deviations of the mean.<br>
			In other words, the farther from the mean, the less frequently values occur.

	{{ ToDo \| Add image of distribution. }}		{{ ToDo \| Add image of distribution. }}

			{{ ToDo \| Possibly include information on "Central Limit Theorem? }}

Brodriguez: Create page

2020-05-13T05:27:03Z

Create page

New page

A distribution of a data set is essentially a graph that shows all values of data and how often they occur.

For an ordered data set, the x-axis denotes the values of the data. The y-axis denotes the frequency of each specific value.

{{ ToDo | Add more distributions. }}

== Normal Distribution ==
Also known as a bell curve.

A normal distribution is based on continuous numerical data, where 68% of data is centered around the mean. The farther from the mean, the less frequently values occur. This distribution is symmetrical.

{{ ToDo | Add image of distribution. }}