example of a 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 ..

A set of observations is called a called a collection of data. These observations should possess some common characteristics. They are recorded and used for further study. The quantities such as age, height and number of students are called variables..

State whether the variable is discrete or continuous: (i). Number of persons watching a movie in a theatre. (ii). Wind speed at the air port. => (i) continuous, (ii) continuous or (i) continuous, (ii) discrete or (i) discrete, (ii) continuous..