qnttm561 | Graduate
Research And Statistics For Process Control
This graduate-level course is 6 To enroll, speak with an Enrollment Representative.
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Correlation, Linear Regression, and Multiple Regression Analysis
- Formulate strategies for predictive analysis and data interpretation.
- Apply concepts of probability to business decisions.
- Perform correlation, linear regression, and multiple regression analysis.
Research, Design, and Six Sigma
- Describe the components of (DMAIC) Define Measure Analyze Improve Control and (DMADV) Define Measure Analyze Design Validate.
- Formulate research questions relevant to management issue(s).
- Construct a research design for research questions.
Descriptive Statistics and Probability Distributions
- Construct confidence intervals for a mean.
- Compute descriptive statistics for data sets.
- Apply probability concepts related to discrete and continuous probability.
- Apply the central limit theorem to sample means.
Data Collection and Technology Development
- Determine appropriate measurement scale types for research designs.
- Construct surveys using measurement scale types that are relevant to the research design.
- Describe the use of scorecards for measuring and monitoring Six Sigma process efficiency.
Research Methods and Business Decisions
- Identify application of statistical analysis and Six Sigma processes to business decisions.
- Use data analysis to innovate business processes.
- Conduct a one-sample and two-sample test of hypothesis.
- Perform analysis of variance and chi-square analyses.
- Use data analysis to solve business problem(s).
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