large samples and small variance are combination of factors is most likely to produce a significant value in standard deviation .
What is standard deviation?
- The term "standard deviation" refers to the degree of dispersion of the data from the mean.
- Data are grouped around the mean when the standard deviation is low, and are more dispersed when the standard deviation is high.
- The standard deviation calculates how much the data vary from the mean value.
- The mean of the following two numbers, for instance, is the same: 15, 15, 15, 14, 16 and 2, 7, 14, 22, 30. The second, though, is obviously more dispersed.
t = x - μ/s/√n
t = √n( x- μ)/s
t will be significant when its value will be higher .
so, the answer is large samples and small variance .
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