How do you describe a continuous random variables?
A continuous random variable is one which takes an infinite number of possible values. Continuous random variables are usually measurements. Examples include height, weight, the amount of sugar in an orange, the time required to run a mile. A continuous random variable is not defined at specific values.
How will you know that a random variable is discrete or continuous?
A discrete variable is a variable whose value is obtained by counting. A continuous variable is a variable whose value is obtained by measuring. A random variable is a variable whose value is a numerical outcome of a random phenomenon. A discrete random variable X has a countable number of possible values.
Which one of these variables is a continuous random variable?
Answer: The time it takes a randomly selected student to complete an exam. Is This Question Helpful?
Are continuous random variables continuous?
A continuous random variable is a random variable whose statistical distribution is continuous.
Why do we use continuous random variables?
A random variable X is continuous if possible values comprise either a single interval on the number line or a union of disjoint intervals. Example: If in the study of the ecology of a lake, X, the r.v. may be depth measurements at randomly chosen locations.
Which of the following is a continuous random variable Mcq?
Answer and Explanation: Time is a continuous variable, and the time duration taken by a randomly selected student to complete the exam is…
Which of these is a continuous distribution?
Which of these is a continuous distribution? Explanation: Pascal, binomial, and hyper geometric distributions are all part of discrete distribution which are used to describe variation of attributes. Lognormal distribution is a continuous distribution used to describe variation of the continuous variables.
Why is continuous random variable important?
Recall that continuous random variables represent measurements and can take on any value within an interval.