Let f ( x ) denote the probability density function of a normal random variable with mean μ , and variance σ 2 . Show that μ − σ and μ + σ are points of inflection of this function. That is, show that f ' ' ( x ) = 0 when x = μ − σ or x = μ + σ .
Let f ( x ) denote the probability density function of a normal random variable with mean μ , and variance σ 2 . Show that μ − σ and μ + σ are points of inflection of this function. That is, show that f ' ' ( x ) = 0 when x = μ − σ or x = μ + σ .
Solution Summary: The author explains the probability density function f(x) of a normal random variable with mean and variance.
Let
f
(
x
)
denote the probability density function of a normal random variable with mean
μ
, and variance
σ
2
. Show that
μ
−
σ
and
μ
+
σ
are points of inflection of this function. That is, show that
f
'
'
(
x
)
=
0
when
x
=
μ
−
σ
or
x
=
μ
+
σ
.
Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, probability and related others by exploring similar questions and additional content below.
Continuous Probability Distributions - Basic Introduction; Author: The Organic Chemistry Tutor;https://www.youtube.com/watch?v=QxqxdQ_g2uw;License: Standard YouTube License, CC-BY
Probability Density Function (p.d.f.) Finding k (Part 1) | ExamSolutions; Author: ExamSolutions;https://www.youtube.com/watch?v=RsuS2ehsTDM;License: Standard YouTube License, CC-BY
Find the value of k so that the Function is a Probability Density Function; Author: The Math Sorcerer;https://www.youtube.com/watch?v=QqoCZWrVnbA;License: Standard Youtube License