Answer:
b. The number of digits in a randomly selected row until a 3 is found.
Explanation:
A random variable often used in statistics and probability, is a variable that has its possible values as numerical outcomes of a random experiment or phenomenon. It is usually denoted by a capital letter, such as X.
In statistics and probability, random variables are either continuous or discrete.
1. A continuous random variable is a variable that has its possible values as an infinite value, meaning it cannot be counted.
2. A discrete random variable is a variable that has its possible values as a finite value, meaning it can be counted.
Also, any random variable that meets certain conditions defined in a research study.
Hence, an example of a geometric random variables is the number of digits in a randomly selected row until a 3 is found.
The evidence is used in this excerpt is known as a quotation and story. Check more about evidence below.
<h3>What is evidence?</h3>
This is known to be any fact that is presented that shows that a given thing or action is true.
Note that in the excerpt below, the The evidence is used in this excerpt is known as a quotation and story
See full question below
Read the excerpt from "Lise Marie de Baissac.”
According to her SOE file, "[s]he was the inspiration of groups on the Orne [river] and by her initiative caused heavy losses to the Germans. . . . She also took part in several armed attacks on enemy columns."
Which evidence is used in this excerpt? Check all that apply.
opinion
statistic
example
quotation
story
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<span>Actually modern innovation is big and fully networked all over the world in a high class technology generated world, which inturn surely creates a massive job creations in the form of multinational companies jobs and local companies jobs, which has big and major effect on almost all round, surely which is also the next future for sure.</span>
The above statement is common in the parlance of Computer Vision and Pattern Recognition.
<h3>
What is Pose?</h3>
Pose to pose is a term used in animation to describe the process of creating key poses for characters and then inbetweening them in intermediate frames to give the illusion that the character is moving from one pose to the next.
The goal of Agnostic Pose Estimation is to develop a pose estimation model that can detect the pose of any class of object using only a few samples with keypoint definition.
Learn more about computer vision at;
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