Regarding continuous random variable

In summary, a continuous random variable is a numerical variable that can take on any value within a certain range, and it is often used to represent measurements or quantities. It differs from a discrete random variable in that it can take on an infinite number of values, and its probability distribution is represented by a probability density function (PDF). Probability for a continuous random variable is calculated by finding the area under the PDF curve, and some real-world examples include height, weight, temperature, time, and distance.
  • #1
semc
368
5
Here's the qn random variable X follows uniform distribution [-a,a] and random variable Y is defined as Y=e^x find E(Y)

i figure that E(Y)=E(e^x) but somehow can't carry on from there can anyone help?
 
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  • #2
The expectation of a continuous random variable Y is defined by [tex]\int_{-\infty}^{+\infty}xf(x)dx[/tex], where f(x) is the probability density function of the random variable Y. Follow the definition. :smile:
 

Related to Regarding continuous random variable

1. What is a continuous random variable?

A continuous random variable is a type of numerical variable that can take on any value within a certain range or interval. It is often used to represent measurements or quantities that can have an infinite number of possible values.

2. How is a continuous random variable different from a discrete random variable?

A continuous random variable differs from a discrete random variable in that it can take on an infinite number of values within a given range, while a discrete random variable can only take on a finite number of distinct values.

3. What is the probability distribution of a continuous random variable?

The probability distribution of a continuous random variable is a function that assigns probabilities to different intervals within the range of possible values. It is often represented by a curve known as a probability density function (PDF).

4. How is probability calculated for a continuous random variable?

The probability for a continuous random variable is calculated by finding the area under the probability density function (PDF) curve for a given interval. This can be done using calculus or with the help of statistical software.

5. What are some real-world examples of continuous random variables?

Some examples of continuous random variables include height, weight, temperature, time, and distance. These variables can take on an infinite number of values within a given range and are often measured using tools such as rulers, thermometers, and clocks.

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