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Phoenix [80]
3 years ago
8

What is 1 standard deviation on a

Mathematics
1 answer:
PilotLPTM [1.2K]3 years ago
3 0

Answer:

  D. The distance from the mean to an inflection point

Step-by-step explanation:

We rarely encounter the actual formula for the normal PDF. It is ...

  p(x)=\dfrac{1}{\sqrt{2\pi}}e^{-\dfrac{x^2}{2}}

In fact, the inflection points are at x = ±1, where the curve changes from being concave downward to concave upward.

So, one standard deviation is the distance from the mean to an inflection point.

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Evaluate the following using<br> powers of ten rules.<br> 9.4326<br> x 100
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Answer: 943.26

Step-by-step explanation:

9.4326

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2 years ago
Find the local max and min values of f(x)=x^2/x-1 using both first and second derivative tests
uranmaximum [27]
Hmm, the 2nd derivitve is good for finding concavity

let's find the max and min points
that is where the first derivitive is equal to 0
remember the difference quotient

so
f'(x)=(x^2-2x)/(x^2-2x+1)
find where it equals 0
set numerator equal to 0
0=x^2-2x
0=x(x-2)
0=x
0=x-2
2=x

so at 0 and 2 are the min and max
find if the signs go from negative to positive (min) or from positive to negative (max) at those points

f'(-1)>0
f'(1.5)<0
f'(3)>0

so at x=0, the sign go from positive to negative (local maximum)
at x=2, the sign go from negative to positive (local minimum)


we can take the 2nd derivitive to see the inflection points
f''(x)=2/((x-1)^3)
where does it equal 0?
it doesn't
so no inflection point
but, we can test it at x=0 and x=2
at x=0, we get f''(0)<0 so it is concave down. that means that x=0 being a max makes sense
at x=2, we get f''(2)>0 so it is concave up. that means that x=2 being a max make sense




local max is at x=0 (the point (0,0))
local min is at x=2 (the point (2,4))
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3 years ago
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anygoal [31]
It should be 24 because all degrees in angles add up to 180 so you add 49 & 107 get 156 subtract and boom!
5 0
3 years ago
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What would happen to the variance of a data set if we multiplied every observation by S?
kipiarov [429]
The variance of a constant is zero. Rule 2. Adding a constant value, c, to a random variable does not change the variance, because the expectation (mean) increases by the same amount. ... Multiplying a random variable by a constant increases the variance by the square of the constant.
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2 years ago
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