# Research And Statistics For Process Control

### Explore by:

or call us at
or call us at

This course prepares graduate students to apply statistics and probability concepts to business decisions in organizations that focus on process improvement. Students learn criteria for developing effective research questions, including the creation of appropriate sampling populations and instruments. Other topics include descriptive statistics, probability concepts, confidence intervals, sampling designs, data collection, and data analysisâincluding parametric and nonparametric tests of hypothesis and regression analysis.

This graduate-level course is 6 weeks To enroll, speak with an Enrollment Representative.

#### Course details:

Credits: 3
Continuing education units: XX
Professional development units: XX
Duration: 6 weeks

#### 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

• IdentifyÂ application of statistical analysis and Six Sigma processes to business decisions.
• Use data analysis to innovate business processes.

#### Research, Design, and Six Sigma

• Formulate research questions relevant to management issue(s).
• Construct a research design for research questions.
• Describe the components of (DMAIC) Define Measure Analyze Improve Control and (DMADV) Define Measure Analyze Design Validate.

#### Descriptive Statistics and Probability Distributions

• Compute descriptive statistics for data sets.
• Apply probability concepts related to discrete and continuous probability.
• Apply the central limit theorem to sample means.
• Construct confidence intervals for a mean.

#### Data Analysis

• 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).

#### Correlation, Linear Regression, and Multiple Regression Analysis

• Perform correlation, linear regression, and multiple regression analysis.
• Formulate strategies for predictive analysis and data interpretation.
• Apply concepts of probability to business decisions.
Tuition for individual courses varies. For more information, please call or chat live with an Enrollment Representative.