stat 390 - continuous random variable distribution

0.0(0)
studied byStudied by 0 people
learnLearn
examPractice Test
spaced repetitionSpaced Repetition
heart puzzleMatch
flashcardsFlashcards
Card Sorting

1/6

flashcard set

Earn XP

Description and Tags

Statistics

Study Analytics
Name
Mastery
Learn
Test
Matching
Spaced

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