Concept explainers
To Explain: Whether the assumptions provided in question is true.
Explanation of Solution
The random variable whose values are countable is known as discrete variable.
For example:
The number of outcome as heads in 10 tosses. The probability distribution associated with discrete random
variable is known as discrete probability distribution. For example: Binomial distribution,
geometric distribution.
The variable that is not countable is known as continuous variable. For example: Like miles
driven by a vehicle in a week. The probability distribution associated with continuous random
variable is known as continuous probability distribution. For example:
Chapter 12 Solutions
Algebra 2
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