The relationship of mean and standard deviation in the context of a t-test is not the same, for example, as in the context of the Central Limit Theorem, where the mean and standard deviation of populations have a predictable relationship to the means and standard deviations of the sampling distributions they can give rise to.
There are clear patterns of positive and negative deviations of population density from those values predicted by our modelled suitability for agriculture.
Figure 5B shows the means and standard deviations of population doublings measured experimentally for each cell type in four replicate experiments.
The z-score represents, in standard deviation units, the amount a score deviates from the mean of the population from which the score is drawn [ z = (score − mean of the population)/standard deviation of the population].
where x i is the fitness of a chromosome; x ¯ Open image in new window is the average fitness; N is the population size; S is the standard deviation of the population fitness; and Smax is the maximum standard deviation among all the generated populations.
Also, this probability should be decreased to maintain the population diversification when the standard deviation of the population fitness changes is increased.
Z-scores were calculated to assess statistical significance, according to the following formula: z = (x-μ /σ where x-μ /σhe rawhereue, μ the population mean and σ the standard deviation of the population.
In order to be able to combine the six sets of data, raw data were standardized according to the following formula [ 57]: (1) z = x − μ σ, where x is the raw score, z is the standard score, μ is the mean of the population, and σ is the standard deviation of the population.
Z-score was calculated as follows:
A Z-test was performed according to the formula Z = (observed - μ)/δ where observed is the count of each possible dipeptide found in olfactory receptors, μ is the mean of the counts from the whole population of non-olfactory proteins, and δ is the standard deviation of the population count.
The means and standard deviation of each population were averaged across triplicate measures.
