solving continuous variable

A continuous variable can assume all values within a certain range, e.g., height, weight and age of persons are examples of continuous variables..

A random variable which can assume all possible values between certain limits is called a continuous random variable..

random variables which can assume any value over an interval..

Quantities such as height, weight, age, amount can have several different values. Quantities which can assume different numerical values are called variables. Variables are of two types: (a) Continuous (b) Discre..

Let X be continuous random variable which can assume values in the interval [a,b]. A function f(x) on [a,b] is called the probability density function if ..

Conclusion - In this chapter we have studied the method of evaluating probabilities of events relating to independent events and conditional events. We have also studied about random variables and their probability distributions, namely binomial distribution and Poisson distribution. The ..

State whether the variable is discrete or continuous: The number of children playing in a park. => discrete or either discrete or continuous or cannot be determined or continuous..

Let S be a sample space associated with a given random experiment. A real valued function X which assigns to each w i S, a unique real number, X( w i ) = x i is called a random variable . Two types of random variables are 1. Continuous random ..

Linear Equations in One Variable - An equation of one variable and of first order (i.e., its highest power is one) is called a Linear equation. Such an equation has only one solution. A solution is also called the 'root' of the given equation.An equation of one variable..

State whether the variable is discrete or continuous: (i) Temperature of patients in a hospital. (ii) Distance from New York to Texas. => (i) continuous, (ii) discrete or (i) discrete, (ii) discrete or (i) discrete, (ii) continuous or (i) continuous..