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Probability values are never negative and are always between 0-1 according to the definition Probability of A= Number of outcomes classified as A/Total number of possible outcomes

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โˆ™ 2011-03-07 01:53:49
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Q: Are the probability values always greater than or equal to 0 or less than or equal to 1 or all positive numbers?
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Are all probability values always positive numbers?


How do you decide which of two numbers is greater when one number is positive and one number is negative?

The positive number is always greater.

Which among this greater -5 or plus 2?

2 of course. Because 2 is positive and -5 is negative and positive numbers are always greater than negative numbers.

what is bigger 50 or -40?


Is plus 3 greater or less than -10?


Is the product of two positive numbers greater than the sum of the two numbers?

Not always, but most of the time.

Is negative 8 greater than 2?

No. Negative numbers are always smaller than positive numbers.

Can probability values be negative?

No. Probability values always have to be positive.

Is the difference of two numbers always less than at least one of the numbers?

yes. for all positive, distinct numbers greater than 0

Which computation results in a number that is greater than the two given numbers?

-- Addition always does if both are positive. -- Multiplication does if, for example, both are positive and greater than ' 1 '. -- Exponentiation does if, for example, both the base and exponent are positive and greater than ' 1 ' .

Can a probability assume a negative value?

No. Probability is always represented as a positive ratio/fraction/percent.

Why is the probability of an event always a number between 0 and 1?

The probability of an event is defined as the ratio of favourable outcomes to total outcomes. In the case of discrete distributions these will be represented by numbers, while for continuous distribution they will be measured as areas. In either case, the first measure is non-negative and the second is positive and so the probability is greater than 0. Also, the number of favourable outcomes cannot be greater than the total so the probability must be at most 1.

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