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Estimate each difference means to estimate the numbers that they give you estimate means round to the nearest 10 like if 24 and you have to round it it will be 20 if the number is 25 which is in the middle than it will be the number upper which is 30

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Q: What does estimate each difference mean?
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Related questions

What is 46.78-18.55 and estimate each sum or difference?

46.78-18.55 and estimate each sum or difference = 28.23


Find each difference estimate to check answer 574-382?

956


Use compatible numbers to estimate each difference 84 - 36?

use compatible numbers to estimate each difference 84-36


How do you estimate each sum or difference with rounding?

54+86


What is the estimate each sum or difference for 6.5 - 4.4?

2.0999999999999996


What does estimate each sm or difference mean?

In arithmetic, estimate usually means rounding the numbers so they're easier to manipulate. Example: Estimate the sum of 432 and 267. You can round them to 430 and 270 and estimate the sum as 700. You could also round them to 400 and 300 and estimate the same total. To estimate a difference, just subtract them. 430 minus 270 is 160. The actual sum is 699 and the actual difference is 165, so your estimates came pretty close.


Estimate each sum of difference by rounding 4.204 plus 2.779?

7.000


Estimate each sum or difference by round 4.204 plus 2.779?

1000


What is the difference between round off estimate and approximate?

An estimate is an educated guess. Approximate and round off mean "about".


Estimate each difference using compatible numbers 53-24?

77


Do estimate the difference means subtract?

To estimate the difference, you find the difference first. To find the difference, you subtract the numbers you are given. Then you estimate your final answer (the difference).


What does the standard error of the difference between means mean?

An estimate for the mean of a set of observations is just that - an estimate. Another set of observations will give a different estimates. These estimates for the mean will have a distribution which will have a standard error. If you have two sub-populations, the mean of each sub-population will have a standards error and the se of the difference between the means is a measure of the variability of the estimates of the difference.A typical school work example: the heights of men and of women. There will be a mean height for men, Hm, with a se for men's heights and a mean height for women, Hw, with its own se. The difference in mean heights is Hm - Hw and which will have an estimated se.