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mean
mean

data prep and descriptive stats
data prep and descriptive stats

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... By convention, p-values of <.05 are often accepted as “statistically significant” in the medical literature; but this is an arbitrary cut-off. A cut-off of p<.05 means that in about 5 of 100 experiments, a result would appear significant just by chance (“Type I error”). ...
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... shape of a histogram drawn from a small sample of observations does not always accurately represent the shape of the population. For this reason, we need additional methods for assessing the normality of a random variable when we are looking at sample data. ...
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... standard deviation of .55. What is the standard error of the mean for sample sizes of 30? a) .02 b) .10 c) .37 d) 3.64 -24. In order for the standard error of the mean to equal 1.5 when the sample size is 9, what must be the value of the standard deviation of the population? a) .5 b) 1.5 c) 4.5 d) 1 ...
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... Range is not resistant and it ignores the numerical values of nearly all the data. • deviation from the mean: the difference between the observation and the sample mean d = x − x̄ • variance: the average of the squared deviations P sum of squared deviations (x − x̄)2 ...
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Taylor's law

Taylor's law (also known as Taylor’s power law) is an empirical law in ecology that relates the variance of the number of individuals of a species per unit area of habitat to the corresponding mean by a power law relationship.
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