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DATA   Collection of readings or measurements  
DATUM   The singular word for data  
TRUE VALUE   This is the reading that would be obtained if there were no errors at all  
ACCURACY   This is when a measurement is close to the true value  
PRECISION   This depends on the scale of your measuring instrument. A precise instrument has lots of decimal places or many divisions in its scale.  
RELIABLE   This is when the repeated results are the same even when someone else carries out the same experiment  
FAIR TEST   This is when only one variable (independent) has been allowed to affect the results (dependent variable)  
VALID   Data is not valid if a fair test is not carried out. Only valid data can be used to draw conclusions  
EVIDENCE   This is when you have valid data  
CALIBRATION   This is the scale between fixed points on a measuring instrument  
RANDOM ERROR   These cause readings to be different from the true value. These can be detected by taking a large number of readings.  
SYSTEMATIC ERROR   This is when the repeated readings are either mostly above or mostly below the true value  
ZERO ERROR   These are caused when the measuring instruments do not read zero correctly.This is a type of systematic error  
INDEPENDENT   This is the variable that you choose to change the value of. Usually plotted on the x-axis of a graph  
DEPENDENT   This is the variable that you measure when you change the independent variable. Usually plotted on the y-axis of a graph  
CONTINUOUS   A variable that can be any number and can go up in any interval. Data is presented in a line/scatter graph  
CONTROL   This is when more than one variable could affect the results. The control variable is the one that must be kept constant or closely monitored  
DISCRETE   A variable whose values are only whole numbers  
CATEGORIC   A variable that has names rather than numbers. Data is presented in a bar or pie chart  
ORDERED   These are categoric variables that can be ordered eg large, medium or small  


   


 

 

 

 

 

 
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