1.
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Collect, organize, present, analyze, and interpret numerical data
using frequency distributions and graphical presentations. (I)
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2.
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Calculate and interpret the measures of central tendency for either
raw or grouped data. (I)
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3.
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Calculate and interpret the measures of dispersion and skewness for a
data set. (I)
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4.
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Use discrete and continuous probability distributions in probability
applications. (II)
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5.
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Explain probability sampling and sampling distributions, and describe
their uses. (III)
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6.
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Use statistical inference techniques and confidence levels for
decision making when testing hypotheses. (IV)
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7.
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Use regression and correlation analysis, and interpret the results of
the analysis. (V)
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8.
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Use statistical process management and control charting to solve
statistical quality control problems. (VI)
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