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lets u know what the damage is and what its gonna cost to fix it.

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Q: What are the duties of an auto body estimator?
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How much does an auto body estimator make per year?

It actually depends on the amount of business that they are able to capture. A well known body shop chain in Dallas, pays their estimators 4% of the work that the estimator oversees-based on delivery. ex repair total 3650 comission pay = 146.00


Which website offers the best car payment estimator?

There are some websites offering the car payment estimator. You can find an accurate payment estimator at autos.com and other online automotive stores that sell spare parts of auto.


Auto body repair job description?

The auto body repair duties include removing, replacing and repairing the damaged parts of motor vehicles. The auto body repair mechanics usually get into the job after undergoing training in vehicle mechanics.


What is the correct spelling for estimator?

Estimator is the correct spelling.


What is an efficient estimator?

In statistics, an efficient estimator is an estimator that estimates the quantity of interest in some "best possible" manner


What is another name for sales estimator?

what is another name for estimator


What is the uses of ratio estimator?

what is the use and application of ratio estimator?


Detailed duties and responsibilities of auto detailing manager?

No


What is the criteria of a good estimator in econometrics?

Answer this question Critria of good estimator


What would be a good name for an auto body shop?

Auto Body PlaceReal Repair Auto Body Shop*your name's* Auto Body Plaza


How much do auto body mechanics make a year?

About $40,000 a year.That all depends on area of the country, experience, duties, etc. $40,000 is a guess(and terribly low for someone with experience).


What are the properties of good estimators?

There are four main properties associated with a "good" estimator. These are: 1) Unbiasedness: the expected value of the estimator (or the mean of the estimator) is simply the figure being estimated. In statistical terms, E(estimate of Y) = Y. 2) Consistency: the estimator converges in probability with the estimated figure. In other words, as the sample size approaches the population size, the estimator gets closer and closer to the estimated. 3) Efficiency: The estimator has a low variance, usually relative to other estimators, which is called relative efficiency. Otherwise, the variance of the estimator is minimized. 4) Robustness: The mean-squared errors of the estimator are minimized relative to other estimators.