Learning Outcomes Relationships

PLO 1: Apply basic quality problem solving tools and techniques to manufacturing process centered problems for quality improvement.

CLO 1: Describe and interpret univariate data using graphical summaries such as box-plots, histograms, pie charts, bar charts and dot plots.
CLO 2: Describe and interpret univariate data using numerical summaries such as proportions, mean, median, percentiles and standard deviation.
CLO 3: Summarize bivariate data using graphical and numerical summaries including scatter plots, correlation coefficients and least squares regression lines.
CLO 4: Apply basic concepts of probability such as sample spaces, events (independent or dependent) and their associated probabilities using addition and multiplication rules.
CLO 7: Use the normal distribution to interpret z-scores and compute probabilities.
CLO 8: Describe the principles of data collection including randomization, sampling design, and comparison. Distinguish between observational and experimental studies.

PLO 5: Effectively employ lean principles and six sigma process applications in oral presentations and written legal documents.

CLO 1: Describe and interpret univariate data using graphical summaries such as box-plots, histograms, pie charts, bar charts and dot plots.
CLO 2: Describe and interpret univariate data using numerical summaries such as proportions, mean, median, percentiles and standard deviation.
CLO 3: Summarize bivariate data using graphical and numerical summaries including scatter plots, correlation coefficients and least squares regression lines.

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