Six Sigma Probability and Statistical Distributions
Six Sigma Green Belt
| Intermediate
- 16 videos | 58m 34s
- Includes Assessment
- Earns a Badge
- CPE
By determining the probability that a certain event, or multiple events, will occur during your business process improvement project, you'll have a better chance of planning an effective process design. You also need to understand the characteristics of various statistical distributions, and their suitability for different types of data. This course covers different Lean Six Sigma tools and techniques for calculating probability in process improvement initiatives, including independent events, mutually exclusive events, multiplication rules, permutations, and combinations. You'll also explore different types of distribution such as normal, Poisson, binominal, chi square, student's T, and F distributions, and how they can be applied in Lean projects to ensure process control. This course is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.
WHAT YOU WILL LEARN
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distinguish between common probability termsuse the formulas for calculating the probability of simple and mutually exclusive eventscalculate the probability of given eventscalculate probability using the addition rulecalculate probability using the multiplication rulecalculate a permutationcalculate a combinationdistinguish between types of variables
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identify characteristics of normal distributioncalculate the cumulative probability from the z-valuerecognize examples of using a binomial distribution effectivelyrecognize examples of using Poisson distribution effectivelyrecognize characteristics of chi-square distributionsidentify uses for Student's t-distributionsidentify characteristics of F-distributions
IN THIS COURSE
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1.Six Sigma Probability and Statistical Distributions52sUP NEXT
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2.Introduction to Probability3m 22s
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3.Simple and Mutually Exclusive Events2m 48s
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4.Independent and Dependent Events4m 59s
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5.The Addition Rule5m 34s
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6.The Multiplication Rule5m 31s
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7.Calculating Permutations3m 47s
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8.Calculating Combinations3m 7s
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9.Probability Distributions3m 50s
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10.Normal Distribution2m 48s
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11.Calculating Probabilities from Z-values6m 14s
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12.Binomial Distributions3m 8s
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13.Poisson Distributions3m 16s
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14.Chi-Square Distributions3m 59s
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15.Student's t-Distributions2m 37s
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16.F-Distributions2m 42s
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