The <u>standard deviation</u> is a measure of dispersion that is used in constructing confidence intervals for the mean and in evaluating research hypotheses.
In statistics, the same old deviation is a degree of the amount of variation or dispersion of a hard and fast of values. A low well-known deviation suggests that the values tend to be close to the suggested of the set, while an excessive widespread deviation shows that the values are spread out over a much broader range.
It tells you, in common, how some distance every rating lies from the suggestion. In everyday distributions, a high well-known deviation approach that values are typically far from the implied, while a low popular deviation suggests that values are clustered close to the mean.
Fashionable deviation tells you ways to unfold out the statistics is. It is a degree of the way some distance each location cost is from the suggest. In any distribution, about ninety-five% of values may be inside 2 preferred deviations of the suggested.
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Answer:
(4,2.5)
Step-by-step explanation:
Answer:
y=kx
y=48
Step-by-step explanation:
y=kx
8=3k
k=8/3
y=kx
y=8/3 × 18
y=48
Answer:
x = 96
Step-by-step explanation:
x + x - 5 + x - 11 + x - 8 = 360
4x - 24 = 360
4x = 360 + 24
4x = 384
x = 96
Divde it by 12^2 or 144
1250/144=8.605555555555ft^2
