The measurement of risk is measured by
A: Mathematical expectation
B: Variance
C: Probability density function
D: Cumulative distribution function
A: Mathematical expectation
B: Variance
C: Probability density function
D: Cumulative distribution function
举一反三
- The probability density function for a uniform distribution ranging between 2 and 6 is A: 4 B: undefined C: any positive value D: 0.25
- Ψ in the<br/>Schrödinger equation is ( ) A: wave<br/>function B: probability<br/>density C: radial<br/>wave function D: angular<br/>wave function
- The function f(x) that defines the probability distribution of a continuous random variable X is a:
- If X and Y are any two independent continuous random variables whose probability density is [img=41x25]1803dc1d154ea64.png[/img] and [img=38x26]1803dc1d1dd7772.png[/img],and whose distribution function is [img=47x25]1803dc1d26f6f50.png[/img] and [img=42x25]1803dc1d300d282.png[/img],then [img=47x25]1803dc1d26f6f50.png[/img] + [img=42x25]1803dc1d300d282.png[/img] must be the distribution function of a random variable.
- Let [img=47x25]1803a319caed5c0.png[/img] be the uniformly distributed within the unit circle, and the the joint probability density function be [img=501x61]1803a319d67d32e.png[/img]Then the marginal distribution of X in [img=47x25]1803a319caed5c0.png[/img] is also the uniform distribution.