Homogeneous and heterogeneous mixtures In chemistrya heterogeneous mixture consists of either or both of a multiple states of matter or b hydrophilic and hydrophobic substances in one mixture; an example of the latter would be a mixture of water, octaneand silicone grease. Heterogeneous solids, liquids, and gases may be made homogeneous by melting, stirring, or by allowing time to pass for diffusion to distribute the molecules evenly.

It is usually touched on quickly in most stats class.

Most people have no understanding of what their prof is talking about and, frankly, most profs do not have the best handle on it as well. Homogeneity of variance HOV has a history and it is often helpful to understand that history if you want to understand statistics.

Variance, as a term, was first coined by Fisher in You know, the idea that people are a combination of nature and nurture.

Fisher Significance of the cultural homogeneity felt that most natural phenomenon was normally distributed -- or had a bell curve shape. Before Fisher was Pearson and Galton, and they had a strong influence on Fisher. The normal distribution has an interesting history in statistics and Galton found it almost magical.

Galton explored the normal distribution using a device called the Quincunx. There is a great demonstration of Galton's device on the MathisFun website. Basically it was a board with nails pounded in it.

The nails were arranged in a triangular shape. Galton dropped a series of beans or marbles at the top of the triangle and watched them plink, plink, plink down through the nails until they reached the bottom. What he observed was that the objects would arrange themselves at the bottom in a normal ish distribution pattern.

Now imagine you are using Galton's game and you repeat the above experiment with a marbles. Then you measure the mean and variance of those marbles. You write that down. Then you repeat your experiment with the same marbles but first you only use marbles write down the resulting mean and variance of the marbles and then empty the game and then use the remaining marbles again write down the mean and variance of the marbles.

If you add the variance of the marbles with the variance of the marbles you will get the exact variance more or less of the original marble distribution.

Now, repeat the above experiment but, this time, imagine that on the last marble trial you slightly tilt the game so that one side is higher than the other.

This will cause the marbles to slightly skew off-center and collect more to one side of the game then the other side. If you calculate the mean and variance of this skewed sample, and add it to the non-skewed marble sample, you will find that it no longer adds up correctly to the original marble population variance.

This because your sample is skewed and has a different distribution than the marble sample. Also when a sample is skewed the mean may no longer be the best measure of central tendency and variance relies on the mean.

ANOVA is a special case of the general linear model of statistics. It is linear in that you are adding things up.

It assumes that the distributions of those things you are adding up are the same. If they are not then your conclusion or estimate might be off or biased.Homogeneity versus heterogeneity of cultural values: An item-response theoretical approach applying Hofstede's cultural dimensions in a single nation ) attain statistical significance; however, the eta 2 values of or less are negligible.

These values do not exceed if one controls for the time of residence being longer than. „cultural“ critiques of trade. Advocates of barriers to trade insist that free trade But does globalization produce cul-tural homogeneity and loss of diversity?

Is cultural „authenticity“ threatened by globalization? Is the planet in danger of being drowned in a vast soup of samen-ess? And should we fear a loss of personal identity. Globalization and Culture: Homogeneity,Diversity, Friedrich-Naumann-Stiftung Identity,Liberty OccasionalPaper 2 2-Culture-US-neu Uhr Seite 2.

Impressum: we can stipulate whatever we want about the meaning of globalization, but not all stipulations are as good as all others. Most are merely attempts to win the debate before. Cultural homogeneity and globalization are becoming concepts that are subjects of debate in the world eye.

Some scholars and politicians argue for the increase of globalization, and some argue against. The Black Intelligence Test of Cultural Homogeneity, or BITCH, is an intelligence test created by Robert Williams in oriented toward the language, attitudes, and life-styles of African Americans.

According to feelthefish.com, the definition of cultural homogeneity is the number of shared facts across all possible agent pairs, divided by the total number of shared facts across all agents in a population. If all agents know all the facts precisely, cultural homogeneity is equal to one.

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Homogeneity and heterogeneity - Wikipedia