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vocab

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Question
Answer
distribution   slices up all the possible values of the variable into equal width bins and gives the number of values (or counts) falling into each bin  
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histogram (relative frequency histogram)   uses adjacent bars to show the distribution of a quantitative variable; each bar represents the frequency (or relative frequency) of values falling in each bin  
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gap   a region of the distribution where there are no values  
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stem-and-leaf display   shows quantitative values in a way that sketches the distribution of the data  
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dotplot   graphs a dot for each case against a single axis  
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shape   described by: single vs. multiple modes, symmetry vs skewness,  
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center   the place in the distribution of a variable that you'd point to if you wanted to attempt the impossible by summarizing the entire distribution with a single number (mean and median)  
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spread   a numerical summary of how tightly the values are clustered around the center; IQR, STD DEV  
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mode   a hump or local high point in the shape of the distribution of a variable; apparent location can change as scale of a histogram changes  
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unimodal (bimodal)   having one (two) modes  
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uniform   a distribution that is roughly flat  
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symmetric   a distribution with two halves on either side of the center that look like mirror images of each other  
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tails   are the parts that typically trail off on either side; distributions can be characterized as having long tails or short tails  
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skewed   a distribution that is not symmetric and one tail is longer than the other (skewed LEFT if the tail is longer on the right vice versa)  
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outliers   extreme values that don't appear to belong with the rest of the data; can be unusual values that need more investigation or mistakes  
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median   middle value with half data above and half below; if N is even then it is the average of the two values; usually paired with the IQR  
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range   max - min  
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quartile   lower quartile (Q1): 1/4 data below it; upper quartile (Q3) 1/4 data above it; used with median it divides the data into 4 parts  
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Interquartile Range (IQR)   difference between Q1 and Q3; Q3 - Q1 = IQR; reported along with the median  
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percentile   the ith percentile is the number that falls above i% of the data  
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5-number Summary   reports the minimum, Q1, median, Q3, and the maximum values  
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mean   average; paired with STDDEV  
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resistant   a calculated summary where outliers have a small effect  
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variance   sum of squared deviations from the mean divided by the count minus 1  
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standard deviation   square root of the variance; s = sqrt((sigma(y-ybar)^2) / n-1); reported with the mean  
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