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Related Concept Videos

Probability Distributions01:32

Probability Distributions

11.9K
 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...
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Binomial Probability Distribution01:15

Binomial Probability Distribution

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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,...
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Poisson Probability Distribution01:09

Poisson Probability Distribution

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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...
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Probability Laws01:49

Probability Laws

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Overview
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Distributions to Estimate Population Parameter01:26

Distributions to Estimate Population Parameter

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The accurate values of population parameters such as population proportion, population mean, and population standard deviation (or variance) are usually unknown. These are fixed values that can only be estimated from the data collected from the samples. The estimates of each of these parameters are sample proportion, the sample mean, and sample standard deviation (or variance). To obtain the values of these sample statistics, data are required that have particular distribution and central...
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Probability in Statistics01:14

Probability in Statistics

22.4K
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...
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Related Experiment Video

Updated: Jan 22, 2026

Leaf Area Index Estimation Using Three Distinct Methods in Pure Deciduous Stands
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Leaf Area Index Estimation Using Three Distinct Methods in Pure Deciduous Stands

Published on: August 29, 2019

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Correction: Polynomial probability distribution estimation using the method of moments.

Joakim Munkhammar, Lars Mattsson, Jesper Rydén

    Plos One
    |July 6, 2019
    PubMed
    Summary
    This summary is machine-generated.

    This study corrects a previous article DOI. The corrected DOI is 10.1371/journal.pone.0174573 for enhanced discoverability.

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    Area of Science:

    • Bibliometrics
    • Scientific Publishing

    Context:

    • Correction of a previously published article's Digital Object Identifier (DOI).

    Purpose:

    • To ensure accurate citation and retrieval of scientific literature.
    • To maintain the integrity of the scientific record.

    Summary:

    • The article DOI has been corrected to 10.1371/journal.pone.0174573.
    • This correction facilitates proper referencing and access to the research.

    Impact:

    • Improved discoverability of the scientific article.
    • Enhanced data integrity within scientific databases and citation indexes.