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: See below
Step-by-step explanation:
(f+g)(x) is another way for saying f(x)+g(x). Since we know f(x) and g(x), we can add them together.
-5x-4+(-3x-2) [distribute the 1 to (-3x-2)]
-5x-4-3x-2 [combine like terms]
-8x-6
(f+g)(x) is -8x-6. You can also factor this.
1. Factoring
-2(4x+3)
Answer:
-2 y
Step-by-step explanation:
Answer:
let t = number of three-point shots
let f = number of free throw shots
Step-by-step explanation:
t + f = 9 (he made a total of 9 shots altogether)
3t + 1f = 23 (number of shots multiplied by their point value)
substitution method: t = 9 - f
3(9 - f) + f = 23
27 - 3f + f = 23
-2f = -4
f = 2
find 't': t + 2 = 9
t = 7
