Experimental Error Factors
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Sign Up Subjects TOD experimental error Definition + Create New Flashcard Popular Terms Errors that may occur in the execution of a statistical experiment design. Types of experimental error include human error, or mistakes in experimental error formula data entry; systematic error, or mistakes in the design of the experiment experimental error examples itself; or random error, caused by environmental conditions or other unpredictable factors. Experiment design seeks to minimize experimental error, types of experimental error in order to produce the most accurate data possible. manipulated var... quantitative da... qualitative dat... group representative... ABC analysis equipment environmental a... demographic fac... Use 'experimental error' in a Sentence I thought
Sources Of Experimental Error
that it was juvt an experimental error and nothing too big to worry about in the future. 18 people found this helpful The researcher was concerned that his scientifically significant findings were actually the result of a serious experimental error his student committed. 17 people found this helpful You may end up making an experimental error and will have to figure out a way experimental error vs human error to over come this small mistake. 14 people found this helpful Show More Examples You Also Might Like... Lyndsey McLaughlin How to Write a Resume When you are looking for a new job, the first thing you need to do is make sure you have a good resume. Your resume is the first thing potential employers will see and the content of it will be used to decide whether or not to invite you to ... Read more Jeffrey Glen Advise vs. Advice Adam Colgate Want to Increase Your Credit Score Quickly? Here ... Ravinder Kapur What are the Common Mistakes of New Managers? Debbie Dragon Making the Jump to Self-Employment Email Print Embed Copy & paste this HTML in your website to link to this page experimental error Browse Dictionary by Letter: # A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Never miss another term. Sign up for our FREE newsletter today! © 2016 WebFinance Inc. All Rights Reserved.Unauthorized duplication, in whole or in part, is strictly prohibited. Privacy, Disclaime
the measurement devices (hard to read scales, etc.) - Usually caused by poorly or miscalibrated instruments. - There are usually ways to determine or estimate. http://www.ahsd.org/science/stroyan/hphys/stats/meas_uncert_1.htm - Cannot reduce by repeated measurements, but can account for in some way. 3. Indeterminate (Random) Errors
- Natural variations in measurements. - May be result of operator bias, variation in experimental conditions, or other factors not easily accounted for. - May be minimized by repeated measurement and using an average value. Experimental results may be experimental error described in terms of precision and accuracy. Precision - relatively low indeterminate error. - reproducibility. - high precision means a number of readings or trials result in values close to the same number. Accuracy - relatively low determinate error. - close to a true value. Accurate and precise Precise but not accurate Reliability- a procedure is said experimental error examples to be reliable if it may be completed with a high degree of accuracy and precision. For most of our investigations we will be concerned with the precision of results. Experimental Data and Measures of Uncertainty Quantities that give some measure of experimental precision are Deviation (individual values) Average deviation Average Deviation of the Mean (Standard Average Deviation) Sample standard deviation (sometimes denoted as ) Standard error It is customary to report experimental results with an uncertainty in the following form Result = Average ± uncertainty The uncertainty is one of the measures of precision given above (a.d., A.D., s, or Sx). For our present cases we will use standard error and report results as Result = Average ± Sx This information is simply preliminary to analyses we will be performing on some sample data, and data we will collect in the future. The idea here is to give you the formulae that are used to describe the precision of a set of data. We will see a bit more later. We need to se