Ads
related to: discrete and continuous probability examples math problems for practicegenerationgenius.com has been visited by 10K+ users in the past month
- Grades 6-8 Math Lessons
Get instant access to hours of fun
standards-based 6-8 videos & more.
- Teachers Try it Free
Get 30 days access for free.
No credit card or commitment needed
- K-8 Math Videos & Lessons
Used in 20,000 Schools
Loved by Students & Teachers
- Grades 3-5 Math lessons
Get instant access to hours of fun
standards-based 3-5 videos & more.
- Grades 6-8 Math Lessons
Search results
Results from the WOW.Com Content Network
The Dirac delta function, although not strictly a probability distribution, is a limiting form of many continuous probability functions. It represents a discrete probability distribution concentrated at 0 — a degenerate distribution — it is a Distribution (mathematics) in the generalized function sense; but the notation treats it as if it ...
A discrete probability distribution is applicable to the scenarios where the set of possible outcomes is discrete (e.g. a coin toss, a roll of a die) and the probabilities are encoded by a discrete list of the probabilities of the outcomes; in this case the discrete probability distribution is known as probability mass function.
In mathematics and statistics, a quantitative variable may be continuous or discrete if it is typically obtained by measuring or counting, respectively. [1] If it can take on two particular real values such that it can also take on all real values between them (including values that are arbitrarily or infinitesimally close together), the variable is continuous in that interval. [2]
Furthermore, it covers distributions that are neither discrete nor continuous nor mixtures of the two. An example of such distributions could be a mix of discrete and continuous distributions—for example, a random variable that is 0 with probability 1/2, and takes a random value from a normal distribution with probability 1/2.
One example of a situation in which one may wish to find the cumulative distribution of one random variable which is continuous and another random variable which is discrete arises when one wishes to use a logistic regression in predicting the probability of a binary outcome Y conditional on the value of a continuously distributed outcome .
In particular, it lists many articles corresponding to specific probability distributions. Such articles are marked here by a code of the form (X:Y), which refers to number of random variables involved and the type of the distribution. For example (2:DC) indicates a distribution with two random variables, discrete or continuous.
Ads
related to: discrete and continuous probability examples math problems for practicegenerationgenius.com has been visited by 10K+ users in the past month