As the degrees of freedom increase, the t distribution approaches the "normal distribution".
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What is normal distribution?</h3>
For independent, random variables, the normal distribution, often referred as the Gaussian distribution, represents the most significant probability distribution in statistics. Most people are familiar with the bell-shaped curve found in statistical reports.
Some key features regarding the normal distribution are-
- A normal distribution is a probability distribution that is symmetrical around the mean, with most observations clustering around the central peak and probabilities tapering off equally in both directions.
- Data points in both distribution tails are similarly uncommon.
- Whereas the normal distribution appears symmetrical, it is not the only symmetrical distribution.
- The Student's t, Cauchy, & logistic distributions, for example, are symmetric.
- The normal distribution, like any other probability distribution, defines the how values of a variable is distributed.
- Because it accurately captures the range of values for many natural occurrences, it's the most essential probability distribution in statistics.
To know more about the normal distribution, here
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In ancient times<em> China</em> was isolated because of the mountains and rivers, they had the Himalayas and the Gobi, as good barriers. They believed that were alone in the world. Living in isolation made difficult to govern there, because of the large areas they had. This made people lived in different parts of China, create their own culture and costumes too, dialects, and way of speaking.
1700- the land was not very explored yet. There was a permanent mission in Baja California (today Mexico) but nothern California was claimed by Spanish, but not too explored yet.
1821- that's when Mexico had it, it's Mexico's independence year!
1846- In june and July- the California Republic!
1850- from September 9th it belonged to the States.
C. our beliefs and understanding and how we respond to them.
Attitudes most likely lead to the actions we take. <span />
