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A Simple Statistical Model That Assumes That the Value of a Variable

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A simple statistical model that assumes that the value of a variable at any date depends just on its own past values plus an error term is known as a


Definitions:

P-Value

The probability of observing data as extreme as, or more than, what was actually observed, assuming the null hypothesis is true.

Sample Proportion

The ratio of members in a sample that have a particular attribute to the total number of members in that sample.

Sample Size

The number of observations or datapoints collected in a sample, critical in determining the precision of estimates and power of statistical tests.

Type II Error

The statistical mistake of failing to reject a null hypothesis when it is actually false.

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