
What is a variable? - Khan Academy
A variable is any letter or symbol that represents a number. Ex: x An expression is a mathematical phrase that consists of numbers, operations (but no equal sign), and variables. Ex: y + 5
Review: Variables (article) - Khan Academy
To use a variable, we must both declare it—to let the program know about the variable—and then assign it—to let the program know what value we are storing in the variable.
What is a variable? (video) | Week 1 | Khan Academy
A variable is any letter or symbol that represents a number. Ex: x An expression is a mathematical phrase that consists of numbers, operations (but no equal sign), and variables. Ex: y + 5
Variance of sum and difference of random variables
The first random variable X is the weight of the cereal in a random box of our favorite cereal, Mathies, a random closed box of our favorite cereal, Mathies. And we know a few other things about it.
Variance and standard deviation of a discrete random variable
We learn how to calculate the mean and standard deviation of a discrete random variable. The concept of a random variable is explained, along with methods to calculate its expected value (mean) and …
One-variable statistics | Khan Academy
Unit 1: One-variable statistics 2,000 possible mastery points Mastered Proficient
Mean and standard deviation of a discrete random variable
Practice calculating and interpreting the mean and standard deviation of a discrete random variable.
Mean (expected value) of a discrete random variable
This process is used to calculate the expected value or mean of a discrete random variable. A "weighted average," while conceptually similar, typically refers to the average of a set of numbers where each …
¿Qué es una variable? (video) | Khan Academy
Nos ayudan a entender y resolver problemas con los cambios de valores. Por ejemplo, al calcular los ingresos totales en un trabajo con un salario por hora más consejos, una variable puede representar …
Variance of a binomial variable - Khan Academy
For the variance of nX, where X is a random variable and n is a constant, it's important to distinguish between multiplying the variable itself by n (affecting the variance by n^2) and summing n …