I would round it to 66 cents.
65.80
You can round off to any values such as the nearest odd number or the nearest tens or hundreds etc.
155-144-124
3.2
Interpolation in general is a way to determine intermediate values from a set of coordinates. Linear interpolation would be to fit a single linear function to the entire set of coordinates. Piecewise linear interpolation would then be to determine intermediate values from the set of coordinates by fitting linear functions between each set of coordinates. Connect-the-dots so to speak.
It can be rounded to 1500 to the nearest 1500. Higher values are possible but somewhat contrived. To the nearest commonly used rounding degree, the answer is 1000.
Corona Fundamental Intermediate School's motto is 'Traditional Values-High Expectations-Successful Students'.
the values needed to compute for work , is W=FD
3/10 and 1/2 are the nearest values
KNN means k-nearest neighbors (KNN). KNN imputation method seeks to impute the values of the missing attributes using those attribute values that are nearest to the missing attribute values.
You can round off to any values such as the nearest odd number or the nearest tens or hundreds etc.
A: 1000 Values in the range of 500 - 1499 will round up to the nearest 1000.
155-144-124
The number 87980 is already rounded off to the nearest unit or whole number as no decimal values are given.
Yes they can. Consider the values $9.51 & $10.34 - to the nearest dollar, they would be $10. This would also be the result of rounding to the nearest $10.
x=27 y=63
The values are the same except that 19.589 is accurate to the nearest thousands whereas 19589000 could be accurate to the nearest unit.
3.2