| 1.
|
Collect, organize, present, analyze, and interpret numerical data
using frequency distributions and graphical presentations. (I)
|
| 2.
|
Calculate and interpret the measures of central tendency for either
raw or grouped data. (I)
|
| 3.
|
Calculate and interpret the measures of dispersion and skewness for a
data set. (I)
|
| 4.
|
Use the normal probability distribution in probability applications.
(II)
|
| 5.
|
Explain probability sampling and sampling distributions, and their
uses. (III)
|
| 6.
|
Use statistical inference techniques and confidence levels for
decision making when testing hypotheses. (IV)
|
| 7.
|
Use simple regression and correlation analysis and interpret the
results. (V)
|
| 8.
|
Use statistical process management and control charting to solve
statistical quality control problems. (VI)
|
| 9.
|
Define, organize, and design an experiment for quality control
testing. (VII)
|
| 10.
|
Apply statistical techniques to the analysis of experiments for
quality assurance. (VIII)
|
|