stat 390 - continuous random variable distribution
0.0(0)
Studied by 0 people0.0(0)
Call with Kai
Learn
Practice Test
Spaced Repetition
Match
Flashcards
Knowt PlayCard Sorting
1/6
Earn XP
Description and Tags
Study Analytics
Name | Mastery | Learn | Test | Matching | Spaced | Call with Kai |
|---|
No study sessions yet.
7 Terms
1
New cards
(T/F) cdfs are the derivatives of pdfs
F - they are the antiderivatives
2
New cards
(T/F) pdfs are the derivatives of cdfs
T - they are the derivatives
3
New cards
probability density function (pdf)
a graph / equation representing probabilities for a continuous random variable
4
New cards
cumulative distribution function (cdf)
a graph / equation representing the sum of probabilities for a continuous random variable
5
New cards
how to find cdf from pdf
integrate pdf
6
New cards
how to find pdf from cdf
derive cdf
7
New cards
expectation of a continuous random variable (E[X])
= ∫ x*f(x)dx
- bounds typically given
- bounds typically given
Note 
Flashcards (60)