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Hm well you can use whole numbers. Now my boy do you get it? Get that brain working!

Q: A method used to estimate a sum when all addends are close to the same value?

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When you decrease both addends when rounding to add, the estimated sum will also be decreased. Rounding down the addends will result in a smaller value for the estimated sum.

If the estimated value is very different from the calculated value then the answer is wrong. Unfortunately, it does not work the other way. An estimate can be close to the calculated value but the answer can still be wrong.

The way I really understand it, is that its estimating by the highest place value, not a very close estimation, but still around the number.

If you have the exact value, why do you need to estimate!

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ÃŒn that case you can multiply one of the addends, times the number of addends.

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Estimate

When you decrease both addends when rounding to add, the estimated sum will also be decreased. Rounding down the addends will result in a smaller value for the estimated sum.

Numbers that are added are called addends or terms.

pi=3.141... C divided by D. Circumference of a circle divided by the diameter of a circle.

If the estimated value is very different from the calculated value then the answer is wrong. Unfortunately, it does not work the other way. An estimate can be close to the calculated value but the answer can still be wrong.

The salvage value will always be more in the case of written down value method as compared to straight line method. Presently written down value methods are given importance.

It can get a bit confusing! The estimate is the value obtained from a sample. The estimator, as used in statistics, is the method used. There's one more, the estimand, which is the population parameter. If we have an unbiased estimator, then after sampling many times, or with a large sample, we should have an estimate which is close to the estimand. I will give you an example. I have a sample of 5 numbers and I take the average. The estimator is taking the average of the sample. It is the estimator of the mean of the population. The average = 4 (for example), this is my estmate.

The way I really understand it, is that its estimating by the highest place value, not a very close estimation, but still around the number.

Estimate the minimum value, A. Estimate the maximum value, B. The estimated range is from A to B.