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,-6,2,4,8
Step-by-step explanation:
the domain are the one at the top like the numerator of a fraction
 
        
             
        
        
        
Answer:
1
Step-by-step explanation:
The slope of the line (when in point-slope form) will be the coefficient of the term on the right side of the equation. In this case that is 1.
 
        
                    
             
        
        
        
Answer:
Therefore the Final Solution is
x = 1 and y = 1
Step-by-step explanation:
Given:
 ...............Equation ( 1 )
                ...............Equation ( 1 )
 ................Equation ( 2 )
         ................Equation ( 2 )
To Find:
x = ?
y = ?
Solution:
Equating Equation  ( 1 ) in Equation ( 2 ) we get

Now Substituting y = 1 in Equation ( 1 ) we get

Therefore the Final Solution is
x = 1 and y = 1