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Graphs
provide a visual representation of data and a better form of communication than tables of data.
creating and interpreting it, is an essential skill in the sciences, especially in physics where relationships between variables need to be derived.
Direct Variation, Inverse Variation, Parabolic Relationship
types of graph
Direct Variation
exists between any two variables when one quantity is directly dependent on the other.
It is the relationship between two variables where one of the variables is a constant multiple of the other.
Directly Proportional
the two variables are directly related to each other
Inverse Variation
is another way of describing a relationship between two variables.
means that as one variable increases, the other one decreases.
Parabolic Relationship
The value of the dependent variable is proportional to the square of the independent variable.
the general equation defining this type of relationship or function is y = kx² where k is a numerical constant that remains the same as x and y change respectively.
error in measurements
is defined as the difference between the true, or accepted value of a quantity and its measured value.
It is a way of expressing accuracy, or how close a measurement is to the “true” value.
systematic error
errors resulting from measuring devices being out of calibration (instrumental) or sometimes caused by external conditions (wind, temperature, humidity and vibrations).
random error
errors resulting in the fluctuation of measurements of the same quantity about the average. The measurements are equally probable of being too large or too small. It is also called chance error or statistical error.
personal error
are caused by carelessness, poor technique, or bias in readings, recording, or calculations.
should be avoided and corrected if discovered.
absolute error
is always expressed with the units of the quantity being measured.
relative error
can be expressed as either a fraction of the measured quantity or as a percentage, with the latter as the most common
significant errors or significant digits
are the digits in a number that carry meaningful information about its precision.
They reflect the accuracy of a measurement or calculation. More significant figures mean higher precision.