Ch 3 Experimental Error Flashcards
precision vs accuracy
precision: reproducibility of measurements
accuracy: closeness of measurement to true value
- centered around bullseye but not in bullseye
- centered off bullseye but clustered
- high accuracy, moderate precision
- low accuracy, high precision
error types
1. gross
2. systematic
3. random
- gross: caused by undetected mistakes; results in outliers
- variations reproducible + directional; fix by calibration; variations don’t avg to 0
- variations independent + unpredictable; affects precision; variations avg to 0
prefer low accuracy + precision vs low accuracy + high precision
low accuracy + high precision bc can just calibrate it
standard deviation formula
s = √ [(summation di^2) / df]
di = xi - avg
df = n-1
relative standard deviation formula
RSD = s/avg
percent relative standard deviation formula
CV = coefficient of variation = (s/avg)*100
variables:
1. sample mean
2. sample standard deviation
3. population mean
4. population standard deviation
- x bar
- s
- mu
- sigma
pooled SD - when would you use it
multiple sample types within an experiment (ANOVA conditions, like my swim study)
propagation of random error
variables: a, b, c, s(a, b, c)
a, b, c: values
s(a, b, c): error amount; ± value
standard error in the mean formula
s(x bar) = s √(1/n)