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When is the median the most appropriate center for a distribution?
The median is the most appropriate center when the distribution is very skewed or if there are many outliers.
What is the advantage of examining the histogram instead of the frequency distribution?
A histogram efficiently presents the same information as the frequency distribution in one visual image and gives all the relevant details in an intuitive format (center, variation, distribution shape, outlier, and time = CVDOT).
What evolutionary selection describes greater number at the extreme and few numbers at the center of distribution?
Disruptive selection, also known as diversifying selection.
Formula for z-test?
The z score is calculated from the distance of a value from the distribution center divided by the standard dev. (x-xbar)/st. dev
Why is the mean the standard partner of the standard deviation?
The mean and standard deviation often go together because they both describe different but complementary things about a distribution of data. The mean can tell you where the center of the distribution is and the standard deviation can tell you how much the data is spread around the mean.
