qnttm561 | Graduate

Research And Statistics For Process Control

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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 analysis—including parametric and nonparametric tests of hypothesis and regression analysis.

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

Course details:

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

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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.

    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).
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