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### Basic Probability and Statistical Distributions in Six Sigma

**Overview/Description**
**Target Audience**
**Expected Duration**
**Lesson Objectives**
**Course Number**

**Overview/Description**
To make accurate inferences about populations from sample data, you need to be able to determine the probability that an event or a combination of events will occur. You also need to be familiar with the characteristics of various statistical distributions, and their suitability for different types of data. In this course, you'll be introduced to the concept of probability. You'll learn how to calculate probability involving independent events, mutually exclusive events, multiplication rules, permutations, and combinations. You'll also look at different types of distributions, such as normal, Poisson, binomial, Chi-square, Student's t, and F-distributions. This course is aligned to the ASQ Body of Knowledge and is designed to assist Green Belt candidates toward achieving their certifications and becoming productive members of their Six Sigma project teams.

**Target Audience**
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level

**Expected Duration (hours)**
1.7

**Lesson Objectives****Basic Probability and Statistical Distributions in Six Sigma**

match the terms associated with probability to their definitions
use the formulas for calculating the probability of simple and mutually exclusive events
calculate the probability of given events
calculate the probability of given events
calculate probability using the addition rule
calculate probability using the multiplication rule
use addition and multiplication rules to calculate the probability of given events
calculate a permutation
calculate a combination
use formulas to calculate permutations and combinations
label examples of variables as continuous or discrete
identify characteristics of normal distribution
calculate probabilities based on normal distribution
use formulas to calculate probability
recognize examples of results that you could summarize using a binomial distribution
recognize examples of results that you could summarize using a Poisson distribution
distinguish between uses of binomial and Poisson distributions
recognize characteristics of chi-square distributions
identify uses for Student's t-distributions
identify characteristics of F-distributions
distinguish between Chi-square, Student's t, and F-distributions
**Course Number:**oper_26_a02_bs_enus