Chp 1: Measurements Flashcards
Define systematic errors
Systematic errors result in all readings or measurements being always smaller or always larger than the true value by a fixed amount.
Define Homogeneity of Equations
For an equation to be homogeneous, every term on both sides of the equal sign of the
equation should have the same units
Define random errors
Random errors result in readings or measurements being scattered about a mean value with no fixed pattern
Define accuracy
Accuracy is the closeness of a reading on an instrument to the true value of the quantity being measured
affected by systematic error.
find mean value
Define precision
Precision of a measurement is how close the experimental values are to each other.
affected by random error
find range
Define scalar
has magnitude only
Define vector
magnitude and direction
a homogeneous equation need not be physically correct. why?
- may have incorrect dimensionless factor
- missing or extra terms that have same unit
name the 10 prefixes
- pico (-12) p
- nano (-9) n
- micro (-6) u
- milli (-3) m
- centi (-2) c
- deci (-1) d
- kilo (3) k
- mega (6) M
- giga (9) G
- tera (12) T
Examples of systematic errors
- due to apparatus (zero errors, poor calibration of instruments)
- due to poor experimental technique (parallax error reduce by ensuring line of sight is perpendicular to the measuring scale)
- due to external factors (background radiation cause reading to be consistently higher than its true reading)
Example of random errors
- due to inability of observer to repeat his action precisely (human reaction time reduced by taking average reading)
- due to environmental conditions like pressure, temperature (reduced by taking average reading)
- due to limited precision of instruments (reduced by taking stack of 10 identical __)
3 types of uncertainty
- absolute uncertainty (1sf)
- fractional uncertainty (1/2sf)
- percentage uncertainty (1/2sf)
- fraction * %
How does drawing a line of best fit help reduce random error?
The best fit line balances the deviations of the data points on either side of the line,
reducing the effects of random errors.
Graphical depiction of:
Random error:
Systematic error:
Random error: the data points are scattered on both sides of the line of best fit.
Systematic error: the best fit line does not pass through the origin.