Inferences on Hypothesis Testing

Hypothesis Testing on the difference between two binomial proportions and parts per million

Hypothesis testing for the standard deviation from a normal variate (mainstream)

The BIS.Net Team The BIS.Net Team

Hypothesis testing for the standard deviation is strictly a hypothesis test for the variance which requires the following steps:

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Hypothesis Testing on the difference between two binomial proportions and parts per million

Hypothesis testing for the mean from a normal variate (mainstream)

The BIS.Net Team The BIS.Net Team

Hypothesis testing for the mean requires the following steps:

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Hypothesis Testing on the difference between two binomial proportions and parts per million

Hypothesis testing for the difference in the ratio of two standard deviations from two normally distributed population (mainstream)

The BIS.Net Team The BIS.Net Team

Hypothesis testing for the ratio of two standard deviations is based on hypothesis testing for the ratio of two variances according to the following steps:

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Hypothesis Testing on the difference between two binomial proportions and parts per million

Hypothesis testing for the difference in the averages from two normally distributed population (mainstream)

The BIS.Net Team The BIS.Net Team

Hypothesis testing for the difference in two averages: 1. Randomly sample n1 items from population 1 and n2 from population 2. N1 can be equal to n2.

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Hypothesis Testing on the difference between two binomial proportions and parts per million

Hypothesis testing for the Cp and Cpk index sampled from a Normal distribution (mainstream)

The BIS.Net Team The BIS.Net Team

One option is to calculate a confidence interval using sample information. If the confidence interval covers the reference value, then the null hypothesis is accepted.

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Hypothesis Testing on the difference between two binomial proportions and parts per million

Hypothesis testing for the difference of two binomial probabilities and ppms (mainstream)

The BIS.Net Team The BIS.Net Team

The following applies to difference in proportions. The same principle is applied to ppms where n1 and n2 are each equal to one million and R1 and R2 are the parts per million.

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Hypothesis Testing on the difference between two binomial proportions and parts per million

Hypothesis testing on the difference between two binomial proportions and parts per million

The BIS.Net Team The BIS.Net Team

The following applies to difference in proportions. The same principle is applied to ppms where n1 and n2 are each equal to one million and R1 and R2 are the parts per million.

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Hypothesis testing for a binomial probability and ppm

Hypothesis testing for a binomial probability and ppm (mainstream)

The BIS.Net Team The BIS.Net Team

If the sample size is small a popular option is to calculate a confidence interval using sample information. If the confidence interval covers the reference value, then the null hypothesis is accepted.

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Hypothesis testing for a binomial probability and ppm

Hypothesis testing for a binomial probability and ppm

The BIS.Net Team The BIS.Net Team

If the sample size is small a popular option is to calculate a confidence interval using sample information. If the confidence interval covers the reference value, then the null hypothesis is accepted.

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Qtech International has specialized in the development of quality information systems and analytic technologies for leading manufacturing corporations for 30 years in 40 countries. Our research into machine-powered algorithms has spanned over 10 years, with foundation research being university supervised prior. Research has involved many sectors, including manufacturing, health, political campaigning, retail, finance and more.

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