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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#SPJ4
I think so:
Your working out is probably just the same as my working out!
The graph will be a set of disjoint points with coordinates [n, 0.5*(1+n)]
Answer:
PS = 31.5 ft
Step-by-step explanation:
∠PTS = 180 - 16 = 154°
164°(π/180) = 41π/45 radians
PS = rθ = 11(41π/45) = 31.48573...
