Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Probability Distributions01:32

Probability Distributions

13.5K
 The probability of a random variable x  is the likelihood of its occurrence. A probability distribution represents the probabilities of a random variable using a formula, graph, or table. There are two types of probability distribution– discrete probability distribution and continuous probability distribution.
A discrete probability distribution is a probability distribution of discrete random variables. It can be categorized into binomial probability distribution and Poisson...
13.5K
Probability Histograms01:17

Probability Histograms

13.8K
A probability histogram is a visual representation of a probability distribution. Similar a typical histogram, the probability histogram consists of contiguous (adjoining) boxes. It has both a horizontal axis and a vertical axis. The horizontal axis is labeled with what the data represents. The vertical axis is labeled with probability. Each rectangular bar in the histogram is 1 unit wide, which suggests that the area under each bar equals the probability, P(x), where x is 1, 2, 3, and so on.
13.8K
Probability in Statistics01:14

Probability in Statistics

25.2K
Probability is the likelihood of an event occurring. The term event is defined as a collection of results of a procedure. An event is a simple event when an outcome cannot be divided into simpler parts.
An example of a simple event is a coin toss. The result of a coin toss is either a head or a tail. Here, head and tail are two simple events. These two simple events make up the sample space. Further, the probability of an event occurring falls within the range of 0 to 1. The probability of an...
25.2K
Poisson Probability Distribution01:09

Poisson Probability Distribution

12.5K
A Poisson probability distribution is a discrete probability distribution. It gives the probability of a number of events occurring in a fixed interval of time or space if these events happen at a known average rate and independently of the time since the last event. For example, a book editor might be interested in the number of words spelled incorrectly in a particular book. It might be that, on average, there are five words spelled incorrectly in 100 pages. The interval is 100 pages.
The...
12.5K
Binomial Probability Distribution01:15

Binomial Probability Distribution

16.8K
A binomial distribution is a probability distribution for a procedure with a fixed number of trials, where each trial can have only two outcomes.
The outcomes of a binomial experiment fit a binomial probability distribution. A statistical experiment can be classified as a binomial experiment if the following conditions are met:
There are a fixed number of trials. Think of trials as repetitions of an experiment. The letter n denotes the number of trials.
There are only two possible outcomes,...
16.8K
Applications of Integration to Probability Density Functions01:27

Applications of Integration to Probability Density Functions

157
Continuous probability distributions are used to model random variables that can take on any real value within a specified range. These variables do not take on isolated or countable values but rather exist on a continuum. For example, the height of an individual can be measured with increasing precision—such as 163.5 or 165.25 centimeters—demonstrating that height is a continuous random variable.The behavior of such variables is described using a probability density function (PDF),...
157

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Correction: Casiraghi et al. The Role of Incentive Respiratory Techniques in Enhanced Recovery After Lung Cancer Resection: A Propensity Score-Matched Study. <i>J. Clin. Med.</i> 2025, <i>14</i>, 100.

Journal of clinical medicine·2026
Same author

From Scalpel to Algorithms in Lung Cancer Management: Precision Requires Wisdom-Beware Not Artificial Intelligence, but Natural Stupidity.

Annali italiani di chirurgia·2026
Same author

Recurrent Malignant Pericardial Effusion Management: The Pericardio-Peritoneal Window.

Journal of clinical medicine·2026
Same author

The Immune Cost of the Thymus: Navigating Autoimmunity and Tumor Management in Thymic Epithelial Tumors.

Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer·2026
Same author

Predictors of Loco-Regional Recurrence After Pulmonary Non-Anatomical Metastasectomy: A Multicentre Retrospective Analysis.

European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery·2026
Same author

From nonintubation to tubeless: redefining perioperative strategies in modern anesthesiology and thoracic surgery.

Annals of medicine and surgery (2012)·2025
Same journal

From contraindication to consideration: the role of esophagectomy in stage IV esophageal adenocarcinoma.

Journal of thoracic disease·2026
Same journal

Clinical features and prognostic factor of small (≤2 cm) lung cancer associated with cystic airspaces.

Journal of thoracic disease·2026
Same journal

Sex-specific trends in incidence and mortality of interstitial lung disease and pulmonary sarcoidosis in China compared with global estimates, 1990-2023: an analysis of GBD 2023.

Journal of thoracic disease·2026
Same journal

A single-arm, single-center phase II clinical study of concurrent brain radiotherapy combined with tislelizumab and chemotherapy in patients with small-cell lung cancer and brain metastases.

Journal of thoracic disease·2026
Same journal

Minimally invasive off-pump coronary artery bypass grafting is associated with reduced postoperative intra-aortic balloon pump use.

Journal of thoracic disease·2026
Same journal

Pulmonary artery involvement contributes to the recurrence of hemoptysis after bronchial artery embolization in patients with chronic pulmonary aspergillosis.

Journal of thoracic disease·2026
See all related articles

Related Experiment Video

Updated: Apr 13, 2026

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
06:55

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level

Published on: September 26, 2016

8.6K

A practical overview on probability distributions.

Andrea Viti1, Alberto Terzi1, Luca Bertolaccini1

  • 11 Thoracic Surgery Unit, S. Croce Carle Hospital, Cuneo, Italy ; 2 Thoracic Surgery Unit, Sacro Cuore Research Hospital, Negrar Verona, Italy.

Journal of Thoracic Disease
|April 30, 2015
PubMed
Summary
This summary is machine-generated.

This paper defines probability and its mathematical features, linking probability behavior to phenomenon characteristics via probability distributions. It details distributions for discrete and continuous variables, including binomial, Poisson, and normal distributions.

Keywords:
Probability distributionscontinuous variablesdiscrete variables

More Related Videos

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

3.1K

Related Experiment Videos

Last Updated: Apr 13, 2026

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
06:55

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level

Published on: September 26, 2016

8.6K
A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

3.1K

Area of Science:

  • Statistics
  • Probability Theory

Background:

  • Understanding probability is crucial for analyzing phenomena and predicting outcomes.
  • Various probability distributions model different types of data and phenomena.

Purpose of the Study:

  • To provide a general definition of probability and its mathematical properties.
  • To explain the link between probability behavior and phenomenon characteristics through probability distributions.
  • To describe common probability distributions for discrete and continuous variables.

Main Methods:

  • General definition of probability.
  • Explanation of mathematical features of probability.
  • Description of probability distributions (binomial, Poisson, normal).
  • Illustrative examples of distribution applications.

Main Results:

  • Probability is intrinsically linked to the characteristics of the phenomena being predicted.
  • Categorical variables are often modeled using binomial or Poisson distributions.
  • Continuous variables are frequently described by the normal distribution.

Conclusions:

  • The paper offers a foundational understanding of probability and its distributions.
  • It highlights the applicability of specific distributions to different variable types.
  • This provides a basis for applying probability theory in various scientific contexts.