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Rationale / value of using statistics statistics is a powerful
tool to objectively compare experimental data uncover relationships
among variables experience an aspect of the practice of science
like real scientists prepares you for a statistics course, a common
math class taken in college
1Characterization of experimental data
is the SD in the distribution of means; used in statistical
tests.
standard error of the mean (SEM) = is a measure of the variation
in the data.
sample standard deviation (SD) = is the average value in the
above graph.
sample mean =
2Elimination of outliers: Q-testQ =
N (sample size)Qc345678910
0.940.760.640.560.510.470.440.41For example: is the value of 25
an outlier in the followingdata set ?10, 11, 13, 14, 25In this
example,Q =
thus, the value of 25 is an outlier and may be deleted
insubsequent data analysis. The Q-test should be used todeleted
only a single data.Table 1. Qc values.Outlier data that
significantly differs from others its deletion would reduce
variability in the data its deletion may make it easier to detect
differences between experimental conditions delete if Q > Qc
3Chart11217100.00039599251711210.00088322562229140.00203099011410170.00478350411217100.01140030381915200.02693814720.06114444880.12744204830.23035702570.33968781710.38910.33968781710.23035702570.12744204830.06114444880.02693814720.01140030380.00478350410.00203099010.00088322560.0003959925
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