Statistics 101 lecture outline: continuous random variables
Statistics 101: Continuous random variables
Administrivia:
Exam monday Evening in Nursing Education Auditorium
Additional office hours before midterm.
(TH 11-5, F 11-5, M 10-1)
See
homepage
for details
I'll be out of town Thursday and most of Friday
Continuous RV's
Densities
Example: Everyone make a random 3 digit number between zero and one
Should be evenly spread (draw picture) (1 between zero and one, 0 elsewhere)
3rd digit should be evenly spread (check against class)
Used in scientific fraud detection
Compute P(.2 < X < .5), (check against class)
Expectation and variance
E(X) = integral(x f(x) dx)
variance = integral((x - E(X))^2 f(x) dx)
compute it for the uniform distribution above (E(X) = .5, Var(X) = 1/12)
Example: lightbulb f(t) dt = (1/µ)e
-t/µ
dt
last updated: $Date: 2006-04-05 17:38:25 -0400 (Wed, 05 Apr 2006) $