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Why are important in random variables?
It might help if you specified why WHAT was important in random variables.
Is Statistically independent random variables are uncorrelated and vice versa?
the statistically independent random variables are uncorrelated but the converse is not true ,i want a counter example,
What is the difference between a random variable and random process?
A random process is a sequence of random variables defined over a period of time.
Variables with values that are determined by chance are called what?
Variables with values that are determined by chance are called random variables. They can take on different values based on the outcome of a random phenomenon or experiment. Random variables can be classified into two types: discrete, which can take on a finite number of values, and continuous, which can take on an infinite number of values within a given range.
What is non-singular linear transformation?
A non-singular linear transformation is a linear transformation between vector spaces that is both injective (one-to-one) and surjective (onto). This means that it maps distinct vectors in the domain to distinct vectors in the codomain and covers the entire codomain. Mathematically, a linear transformation represented by a matrix is non-singular if its determinant is non-zero, indicating that the inverse of the transformation exists. Non-singular transformations preserve the structure of vector spaces, such as linear combinations and dimensions.
How are vectors used in football?
Vectors are one of the any variables used in the calculation of the speed of the ball.
Why are important in random variables?
It might help if you specified why WHAT was important in random variables.
What are basis vectors in a transofrm?
Basis vectors are fundamental vectors in a vector space that define its structure and orientation. In the context of a transformation, they serve as the building blocks from which other vectors can be expressed as linear combinations. When a transformation is applied, the basis vectors are mapped to new vectors, allowing for the representation of the entire vector space in a transformed coordinate system. This concept is crucial in fields like linear algebra and computer graphics, where transformations are frequently utilized.
How many types of randam variables in Statistics?
In statistics, there are two main types of random variables: discrete random variables and continuous random variables. Discrete random variables take on a countable number of distinct values, such as the outcome of rolling a die. In contrast, continuous random variables can take on an infinite number of values within a given range, such as the height of individuals. Each type has its own probability distribution and methods of analysis.
What has the author Michael O'Flynn written?
Michael O'Flynn has written: 'Probabilities, random variables, and random processes' -- subject(s): Probabilities, Random variables, Signal processing, Stochastic processes
Is Statistically independent random variables are uncorrelated and vice versa?
the statistically independent random variables are uncorrelated but the converse is not true ,i want a counter example,
What is the difference between a random variable and random process?
A random process is a sequence of random variables defined over a period of time.
Variables with values that are determined by chance are called what?
Variables with values that are determined by chance are called random variables. They can take on different values based on the outcome of a random phenomenon or experiment. Random variables can be classified into two types: discrete, which can take on a finite number of values, and continuous, which can take on an infinite number of values within a given range.
What is the difference between random variable and random variate?
Random variables is a function that can produce outcomes with different probability and random variates is the particular outcome of a random variable.
What is the importance of distribution functions to stochastic processes?
Stochastic processes are families of random variables. Real-valued (i.e., continuous) random variables are often defined by their (cumulative) distribution function.
What has the author Wai Wan Tsang written?
Wai Wan Tsang has written: 'Analysis of the square-the-histogram method for generating discrete random variables' -- subject(s): Random variables
ARE All continuous random variables are normally distributed?
YES.
