If you are asking what I think you are asking, the number pattern would keep going up by 10, the ninth nth term would be 92
Answer:
For a scaler variable, the Gaussian distribution has a probability density function of
p(x |µ, σ² ) = N(x; µ, σ² ) = 1 / 2π×
The term will have a maximum value at the top of the slope of the 1-D Gaussian distribution curve that is when exp(0) =1 or when x = µ
Step-by-step explanation:
Gaussian distributions have similar shape, with the mean controlling the location and the variance controls the dispersion
From the graph of the probability distribution function it is seen that the the peak is the point at which the slope = 0, where µ = 0 and σ² = 1 then solution for the peak = exponential function = 0 or x = µ
Answer:
9
Step-by-step explanation:
PEMDAS IS
parentheses
Exponents
Multiply and divide
Addition and subtraction
First you start with the parentheses so
1 + 2 = 3
Now you have 6/2 x 3
Multiply and divide means you either divide or multiply what ever comes first going left to right
So
6/2 = 3
3 x 3 = 9
If it was reversed we’d have
2 x 3/6 which would be
6/6 = 1
Answer:
top box: ray
bottom box: endpoint
Step-by-step explanation:
top box: a ray is a line that doesn't stop and that is represented by a arrow on the end of it
bottom box: an end point is where a ray, or line segment stop and since i see two rays that stop there it is an endpoint
Answer:
table:
.1, .25, .35, .2, .1
p(x=4) = .1
p(x<2) = .35
p(3≤x≤4)= .55
1.95, 1.12
Step-by-step explanation:
this is kind of hard to read, but i think i've got it
mean:
0*.1+1*.25+2*.35+3*.2+4*.1= 1.95
The second moment:
0²*.1+1²*.25+2²*.35+3²*.2+4²*.1= 5.05
the variance is the second moment minus the first moment squared (first moment is the mean) and then the standard deviation is the square root of the mean
5.05-1.95²= 1.2475 √1.2475= 1.1169 or 1.12
