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:
Answer is a continuous random variable x the height of the function named the probability density function f(x)
Step-by-step explanation:
A continuous random variable takes infinite number of possible values.
example include height , weight amount of sugar in an orange time required to run a mile.
Continues random variable named probability function f(x).
Answer:
The horizontal shift is to the left by 2 units and the vertical shift is down 3 units for this function.
I hope I was able to help!
Step-by-step explanation:
Answer:
The answer to your question is the third option
Step-by-step explanation:
See the picture below
a) In the picture we observe that the parabola was narrowed not widened, so this option is incorrect.
b) From the picture, we conclude that the graph was shifted right 2 units, not four, so this option is incorrect.
c) From the picture, we observe that this option is the correct one.
d) We observe in the picture that this graph was not reflected so this option is incorrect.
Answer:
50
Step-by-step explanation:
50 x 2 = 100
and
100/2 = 50
