Indicate whether each of the following statements is true (T) or false (F) - A continuous random variable takes on isolates values along the real line, usually integers. - Discrete random variables are random variables that can be measured to any degree of accuracy. This means that between every two possible values ? and ? there exists another possible value ?. - Distance travelled by a car on one litre of petrol is an example of a continuous random variable - We can use probability mass functions to describe mathematically discrete random variables. - A probability density function is used to describe mathematically a continuous random variable. - For any discrete probability distribution, ∑? ?(? ) = 1, for ?(? ) ≠ 0 - The time until the first occurrence (and between subsequent occurrences) follows an Exponential distribution.
Indicate whether each of the following statements is true (T) or false (F) - A continuous random variable takes on isolates values along the real line, usually integers. - Discrete random variables are random variables that can be measured to any degree of accuracy. This means that between every two possible values ? and ? there exists another possible value ?. - Distance travelled by a car on one litre of petrol is an example of a continuous random variable - We can use probability mass functions to describe mathematically discrete random variables. - A probability density function is used to describe mathematically a continuous random variable. - For any discrete probability distribution, ∑? ?(? ) = 1, for ?(? ) ≠ 0 - The time until the first occurrence (and between subsequent occurrences) follows an Exponential distribution.
Indicate whether each of the following statements is true (T) or false (F) - A continuous random variable takes on isolates values along the real line, usually integers. - Discrete random variables are random variables that can be measured to any degree of accuracy. This means that between every two possible values ? and ? there exists another possible value ?. - Distance travelled by a car on one litre of petrol is an example of a continuous random variable - We can use probability mass functions to describe mathematically discrete random variables. - A probability density function is used to describe mathematically a continuous random variable. - For any discrete probability distribution, ∑? ?(? ) = 1, for ?(? ) ≠ 0 - The time until the first occurrence (and between subsequent occurrences) follows an Exponential distribution.
Indicate whether each of the following statements is true (T) or false (F)
- A continuous random variable takes on isolates values along the real line, usually integers.
- Discrete random variables are random variables that can be measured to any degree of accuracy. This means that between every two possible values ? and ? there exists another possible value ?.
- Distance travelled by a car on one litre of petrol is an example of a continuous random variable
- We can use probability mass functions to describe mathematically discrete random variables.
- A probability density function is used to describe mathematically a continuous random variable.
- For any discrete probability distribution, ∑? ?(? ) = 1, for ?(? ) ≠ 0
- The time until the first occurrence (and between subsequent occurrences) follows an Exponential distribution.
Expression, rule, or law that gives the relationship between an independent variable and dependent variable. Some important types of functions are injective function, surjective function, polynomial function, and inverse function.
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