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Population
an entire group of persons or objects
Sample
a portion of the population
Parameter
a property of the population
Statistics
numbers which attempt to capture all of the essential information about the whole data set
Independent variable
the quantity directly controlled by the experimenter; x-axis; left column in a table
Dependent variable
the quantity that changes due to the independent variable; y-axis; right column in a table; the result
Discrete data
a count of whole events, objects, or persons (e.g. the number of people with a diabetes)
Continuous data
the measure of a quantity, such as length, volume, or time, which can occur at any value (e.g. the blood glucose in the blood of a person with diabetes)
Relative frequency
the proportion of a sample that belongs to a particular parameter, better for large samples
Absolute frequency
the number of times a sample belongs to a particular parameter
Coefficient of variation
the quantity of standard deviation divided by the mean multiplied by 100, used to identify variability
12s
Westgard rule where one point is outside 2 standard deviations
13s
Westgard rule where one point is outside 3 standard deviations
22s
Westgard rule where two consecutive points (either within the same or across runs) fall outside of 2 standard deviations
R4s
Westgard rule where the highest and lowest results span over 4 standard deviations
41s
Westgard rule where four consecutive points exceed 1+ or 1- limit
8x
Westgard rule where eight consecutive points within one control OR across both controls, four consecutive controls each fall on the same side of the mean
68%
percent that falls within 1 SD
95%
percent that falls within 2 SD
98%
percent that falls within 3 SD
Trend
6-7 points that continue in the same direction across the mean
Shift
6-7 points that jump across the mean
√(sum of (difference from mean squared)/(number of assays-1))
formula for standard deviation