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DST - Distributions
Distributions for manufacturing and service sectors.
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Distributions
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This software module consists of the following templatized tools and techniques:
- Hypergeometric In probability theory and statistics, the hypergeometric distribution is a discrete probability distribution that describes the number of successes in a sequence of n draws from a finite population without replacement. A classical application of the hypergeometric distribution is sampling without replacement.
- Binomial In probability theory and statistics, the binomial distribution is the discrete probability distribution of the number of successes in a sequence of n independent yes/no experiments, each of which yields success with probability p.
- Poisson In probability theory and statistics, the Poisson distribution is a discrete probability distribution. It expresses the probability of a number of events occurring in a fixed period of time if these events occur with a known average rate, and are independent of the time since the last event.
- Normal The normal distribution, a probability distribution of great importance is a family of distributions of the same general form, differing in their location and scale parameters: the mean ("average") and standard deviation ("variability"), respectively. The standard normal distribution is the normal distribution with a mean of zero and a variance of one. It is often called the bell curve because the graph of its probability density resembles a bell.
- Student
- Chi-Square In probability theory and statistics, the chi-square distribution (also chi-squared or X2 distribution) is one of the most widely used theoretical probability distributions in inferential statistics, i.e. in statistical significance tests. The chi-square distribution has one parameter: k - a positive integer that specifies the number of degrees of freedom (i.e. the number of Xi)
- Fisher In probability theory and statistics, the F Distribution is used to compare if two sample variances (originating from two distributions and each known to be normal) are equal.
- DPMO The DPMO is the Defects Per Million Opportunities. It is the average number of defects per unit observed during an average production run divided by the number of opportunities to make a defect on the product under study during that run normalized to one million. The DPMO tool gives a graphic representation of the level on a 6 sigma scale.
- DPMO Conversion The DPMO Conversion tool is used to convert Sigma levels into the Defects rate or vice-versa. It also gives a graphic representation of the level on a 6 sigma scale.
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Other Distributions Links:
- Distributions Tools – Training
- Distributions – Consultancy Support
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Distributions Download:
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Materials available free for members only:
- Distributions – Learning Material (Word Document)
- Distributions – Teaching Material (PowerPoint)
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