Sentence examples for many standard deviations from inspiring English sources
Then, we determined how many standard deviations each individual waggle run deviated from the mean for each run from second to penultimate.
Then, we determined how many standard deviations each individual waggle run deviated from the mean, e.g., [ individual waggle run duration in a dance – mean waggle run duration for that dance)/standard deviation for that dance].
The z-score is a dimensionless standardized score that gives information about how many standard deviations an observation is above or below the mean.
All coefficients are standardized, meaning that for continuous regressors the coefficients measure how many standard deviations the dependent variable changes when the regressor changes one standard deviation and for dichotomous variables when the variables turn from zero to one.
Statistically, Don Bradman, a cricket player, has the best rating as measured by how many standard deviations his average is above the next highest player.
The next two columns show how many standard deviations above or below average each team was in scoring margin and percentage of passes called.
That I'm one-too-many standard deviations away from normal and that's bad.
Though no significant differences were seen between premoistened and dry rayon or polyester swabs, regardless of the processing method (Table 2), all of these recovery efficiencies were <11.5%, and in many cases, standard deviations were high.
If thermal fluctuations completely erased structure-dependent pathway signatures, the ratio of the (many protein) standard deviation of ⟨ HDA⟩ values at a given DA distance to the many protein ⟨ HDA⟩ value for that distance would be zero, not of order unity.
Congeners 52, 105, and 153 represent 9% of the sum of all 65 congeners measured in air in the Vorhees study, and this proportion is stable across many homes (standard deviation of 3% for 70 measurements in 34 homes) (unpublished observation).
Many researchers quote means and standard deviations to determine effect sizes, and assume the data will have a Normal distribution to calculate their required sample size.
