stat 2300 3.1-.2

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21 Terms

1
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distribution shape
symmetry or skewness, peaks, clusters or gaps, outliers
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outliers
unusually high or low observations
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distribution center
a typical or representative data value, mean/median
4
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distribution spread
clustered together or spread out, range, variance, standard deviation, and interquartile range
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mean
xbar = sigma x / n (average)
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x bar
sample mean
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mu (u)
population mean
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median
the middle score in a distribution; half the scores are above it and half are below it (M) if odd then middle data, if even the average two middle values, sometimes better to use median if outliers
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resistant
if extreme values (very large or small) relative to the data do not affect its value substantially (median is)
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mode
the most frequently occurring score(s) in a distribution (if skewed may not be in middle) good for categorical data
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skewed right
mean > median
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skewed left
mean < median
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symmetric
mean = median , mean is preferred
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median
If highly skewed use the median
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range
the difference between the highest and lowest scores in a distribution, greatly changed by outliers, doesn't take into account other values
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standard deviation
typical value for how far the data fall from their mean
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s^2
sample variance
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s
sample standard deviation
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sigma
population standard deviation
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sigma squared
population variance
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empirical rule
68%, 95%, 99.7%