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Statistical Thinking: An Introduction

Course Cost: $349.00
Course Hours: 6
Instructor Profile

Course Description

CEU's - .6

Get a jump start on your live Six Sigma training!  Learn how to effectively apply statistics for superior decision-making and problem solving.   If you don’t use data to make a decision, you’re just another person with an opinion!   This course provides an introduction and review of basic statistical methods, providing tools that help correctly analyze available data to make good decisions.  Participants gain a familiarity with variation, as well as a basic understanding of how to use the numbers to “confirm” or “deny” claims based on data. 

This course is the perfect prerequisite for anyone beginning Six Sigma training.  Whether you’re starting a quality training program that requires an understanding of statistics, or you just want a solid review of the basics, Statistical Thinking: An Introduction is the ideal curriculum.  This enjoyable course consists of information, fun exercises, and knowledge quizzes geared towards problem solving and decision-making.

Learning Objectives

  • Learn measures of central tendency and variation
  • Understand the relationship between a sample and its population
  • Describe the properties of the Normal Distribution and the Central Limit Theorem
  • Use and describe Confidence Intervals to characterize a group average
  • Understand risks in decision-making (Type I and Type II error)
  • Know how to execute and interpret some commonly-used statistical tests for the average (or group of averages)

Course Content


  • Sampling and Statistical Inference
  • Ways to Characterize Data
  • Discrete or Continuous Data Review
  • Central Tendency
  • Variation

Normal Distribution

  • The Histogram and Properties of the Normal Distribution
  • Understanding Probabilities and the Normal Distribution
  • t-Distribution

Central Limit Theorem and Confidence Intervals

  • Central Limit Theorem Defined
  • Normal Distribution and the Central Limit Theorem
  • Standard Errors
  • Confidence Intervals Defined
  • Estimate the Error
  • Constructing Confidence Intervals
  • Confidence Intervals

Hypothesis Testing

  • What is Hypothesis Testing?
    • Null Hypothesis vs. Alternative Hypothesis
    • Z Tables, p-Values, and Critical Values
    • Hypothesis Testing – Type I and Type II Errors
    • Hypothesis Testing – One Tail vs. Two Tail

Comparing One or Two Group Averages

  • One Sample t-Test
  • Two Sample t-Test
  • Paired t-Test
  • Comparing More than Two Group Averages
  • Analysis of Variance (ANOVA)

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