Vary data in INFO

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Aug 6th, 2022
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How to vary data in INFO

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for the climate discussion Nexus Iamp;#39;m John Robson and in this fact check video weamp;#39;re going to go through the top 10 key facts about climate change that youamp;#39;ve probably never been told at least not by the politicians the activists or the mainstream media and coming in at number 10 weamp;#39;re in an ice age in a relatively cold interglacial period hereamp;#39;s a graph from the US governmentamp;#39;s climate.gov website showing average global temperatures for the past half billion years the horizontal Gray Line shows the average temperature needed for the polar ice caps to melt technically being in an ice age means being below that line with permanent ice at one pole or some say both for most of History the world was above that line and warmer than today scientists think there were a couple of ice ages in the very distant past before the Cambrian explosion of complex multicell life just over half a billion years ago but the most recent period when the world was

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Variation is a measure of how spread out the data is around the center of the data.
Expert-Verified Answer Saying​ data vary means that the values of the variable change from individual to individual. In​ addition, certain variables can change over time for certain individuals. Because data​ vary, two different statistical analysis of the same variable can lead to different results.
A variable represents a value that can change (vary).
Variability describes how far apart data points lie from each other and from the center of a distribution. Along with measures of central tendency, measures of variability give you descriptive statistics that summarize your data. Variability is also referred to as spread, scatter or dispersion.
Direct Variation is said to be the relationship between two variables in which one is a constant multiple of the other. For example, when one variable changes the other, then they are said to be in proportion. If b is directly proportional to a the equation is of the form b = ka (where k is a constant).
In words, the variance of a random variable is the average of the squared deviations of the random variable from its mean (expected value). Notice that the variance of a random variable will result in a number with units squared, but the standard deviation will have the same units as the random variable.
Variance is a statistical measurement of the spread between numbers in a data set. More specifically, variance measures how far each number in the set is from the mean (average), and thus from every other number in the set.

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