When the number of bits used to represent the mantissa is too small.
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Absolute
This is the difference between the ACTUAL number and the NEAREST value that can be represented
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relative
The relative error identifies the scale of an ABSOLUTE error is measures by dividing the absolute error by the actual value (24/474) then times by 100 to form a percentage (24/474 x100)
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If you have more bits assigned to the mantissa what affect does this have?
The number will be more accurate , however the number range will be smaller
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rounding
Loss of value by rounding a number to the nearest value that may be stored
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How is an absolute error measured
it's (actual value - approximation)
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cancellation
This happens when when you attempt to add or subtract numbers of very different sizes, this means subtracting a very very samll number from a large number will have an end result of nothing changing.
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overflow
a number is too large too be represented in the bits available
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underflow
This happens when a number is too small to represented in the available number of bits. This would mean the number is close to Zero
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Other cards in this set
Card 2
Front
This is the difference between the ACTUAL number and the NEAREST value that can be represented
Back
Absolute
Card 3
Front
The relative error identifies the scale of an ABSOLUTE error is measures by dividing the absolute error by the actual value (24/474) then times by 100 to form a percentage (24/474 x100)
Back
Card 4
Front
The number will be more accurate , however the number range will be smaller
Back
Card 5
Front
Loss of value by rounding a number to the nearest value that may be stored
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