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Black Belt/Quality Engineering Statistics

Course ID BBQES
Format Face-to-Face

Get a solid foundation in statistical tools required for success as a Six Sigma Black Belt or Quality Engineer.

If you are planning to participate in Six Sigma Black Belt training, sit for the ASQ Six Sigma Black Belt exam or the Certified Quality Engineer exam you’ll get a refresher in statistical tools common to both exams’ Bodies of Knowledge.

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Course Data

  • CEU Hours: 0
  • Length: 36 Hours
  • ASQ RU: 3.6
  • Provider: ASQ
Corporate Training Available
Course Overview

Learning Objectives:

  • Design and implement accurate and cost-effective data collection systems that will provide useful data for business process analysis.
  • Graphically and mathematically summarize either small samples or large amounts of data in order to reach sound conclusions.
  • Utilize the predictive power of probability distributions to project process performance in advance.
  • Accurately estimate population characteristics from small sample groups.
  • Evaluate sample data to determine if process interventions are truly effective or to compare various system options before making final decisions.
  • Perform exploratory data analysis to detect process patterns and validate assumptions about process distributions patterns.
  • Analyze data that does not fit into a particular probability distribution pattern.
  • Develop mathematical models to predict business results from existing data.
  • Determine the strength and direction of the relationship between two variables.
  • Validate the effectiveness and completeness of predictive models.
  • Communicate more effectively with others who require or use statistics in their business activities.
  • Prevent the misuse and misinterpretation of business process data.
  • Perform the quantitative analyses required for successfully completing Six Sigma Black Belt training and for the ASQ Certified Six Sigma Black Belt and Certified Quality Engineering exams.

Prerequisites:

This is designed as an introductory course, so no prior knowledge of statistics is necessary, but a solid understanding of basic algebra and the ability to work basic algebraic formulas is required.

Who Should Attend:

This is an excellent course for anyone looking to sit for the Six Sigma Black Belt or Quality Engineer exams, and is looking to gain a better understanding of the statistics requirements.

Outline
  1. Collecting and Summarizing Data
    1. Continuous vs. discrete data
    2. Measurement scales: nominal, ordinal, interval, and ratio
    3. Data collection methods: check sheets, coding data, and automatic gauging
    4. Effective sampling techniques: randomized, stratified, systematic, and representative
    5. Overview of measurement assurance and gauge R&R analysis
    6. Basic graphical tools: stem-and-leaf plots, box-and-whisker plots, run charts, scatter diagrams, frequency distributions, histograms, etc.
  2. Basic Probability and Statistics
    1. Descriptive vs. inferential statistics
    2. Sample statistics vs. population parameters
    3. Basic probability concepts
    4. Measures of central tendency: mean, median, and mode
    5. Measures of dispersion: range, standard deviation, and variance
  3. Properties and Applications of Probability Distributions
    1. Effective use of the normal, binomial, Poisson, chi-square, student's t, and F distributions
    2. Overview of the hypergeometric, bivariate, exponential, lognormal, and Weibull distributions
    3. Testing distribution assumptions: normal probability plots, skewness and Kurtosis, chi-square goodness-of-fit tests
    4. Central limit theorem and sampling distribution of the mean
  4. Confidence Intervals and Hypothesis Testing
    1. Statistical significance issues: statistical vs. practical significance, interpreting p-values, and type I and Type II (alpha and beta) errors
    2. Point and interval estimation: confidence intervals for means and proportions, prediction intervals, and tolerance intervals
    3. Hypothesis tests for population means, proportions, and variances
    4. Estimating sample sizes for confidence intervals and hypothesis tests
    5. Paired-comparison tests
    6. Contingency tables
    7. Nonparametric tests: Mood’s median, Levene’s test, Kruskal-Wallis, and Mann-Whitney.
    8. Analysis of Variance (ANOVA)
  5. Exploratory Data Analysis
    1. Multi-vari charts: Distinguishing between positional, cyclical, and temporal variation
    2. Simple and multiple least-squares linear regression
    3. Simple linear correlation and correlation vs. causation
    4. Model diagnostics: evaluating model residuals
Details

Format

This is a four-and-a-half day, instructor-led, face-to-face course.

Materials

The course includes a 300-page manual, an additional section of over 500 sample questions, and a T130X-Scientific Calculator.

Cancellation Policy
ASQ reserves the right to cancel or re-schedule courses and to change instructors. Please be advised that in the event of a course cancellation, ASQ is not responsible for airfare penalties or other travel related expenses you may incur.

If you need to cancel, we will refund your paid registration fee as noted below.
  • Requests for cancellations or transfers to another course offering received at least 30 calendar days before the start of the course can receive a full refund or transfer.
  • There are no refunds within 30 calendar days before the start of the course.
  • Requests to transfer to another course offering received between 29 and 10 calendar days of the course starting incur a $150 processing fee.
  • There are no transfers within 9 calendar days before the start of the course.
  • There are no refunds if the content has been accessed.
  • Enrolled students who fail to attend their registered course without advance notice are liable for the entire course fee.
  • IMPORTANT: Some courses are delivered by ASQ’s partners and have separate cancellation policies. Please refer to the product page for exact information or contact Customer Care at [email protected].
Instructors
Mark McComb CQE
Lois Jordan CQE
John Conte CQE, CRE, CSSBB, CSQE, CQA, CQI, CQT, CQPA, CMQ/OE
Karen Young CSSBB, CQE, CMBB

Enrollment Details

Format: Classroom
Format: Face-to-Face

An instructor-led traditional classroom experience. Classroom-based instruction involves the highest level of instructor/student interaction. We offer classroom style training in two formats. See public and on-site.

No Offerings Scheduled English List: $2299 Member: $2069

 

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