Continuous Variables
A continuous variable can assume all values within a certain range, e.g., height, weight and age of persons are examples of continuous variables..
Continuous random variable
A random variable which can assume all possible values between certain limits is called a continuous random variable..
Continuous random variable:
random variables which can assume any value over an interval..
Variable
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..
Probability distribution of a continuous random variable
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 ..
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 ..Probability (continued) Conclusion
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 ..
Centre of mass of continuous bodies
If we consider the body with continuous distribution of matter, the summation in the formula of centre of mass should be replaced by integration. Therefore, we do not talk of the i t h particle, rather, we talk of a small element of the body having a mass dm. If x, y, z are the co-ordi..
If we consider the body with continuous distribution of matter, the summation in the formula of centre of mass should be replaced by integration. Therefore, we do not talk of the i t h particle, rather, we talk of a small element of the body having a mass dm. If x, y, z are the co-ordi..State whether the variables are discrete or continuous.(i). Speed of a..
State whether the variables are discrete or continuous. (i). Speed of a car. (ii). Weight of an elephant. => (i) continuous, (ii) continuous or (i) discrete, (ii) continuous or (i) continuous, (ii) discrete or (i) discrete, (ii) discrete o..
Random Variable and Probability Distribution
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 ..
State whether the variable is discrete or continuous:(i). Number of pe..
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..
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