Operational Excellence through Statistical Thinking
Discover Statoscopex, our online statistical analysis software. It is aimed at Six Sigma and statistical analysis practitioners who want to evaluate and fully exploit the decision-making potential of a data set.
Statoscopex helps Six Sigma and statistical practitioners identify influential factors, quantify their effects and assess their practical relevance, enabling better-informed improvement decisions.
Youri Buffe
Master Black Belt
Advanced Features for Your Statistical Studies
Statoscopex offers more than 50 analyses and 100 statistical calculations through its capability study and factor analysis functionalities, including:
Capability Study
For the following metrics: continuous, counting, binary.
- Determining the statistical accuracy of the defect rate of a process
- Determining the minimum sample size required to estimate the defect rate of a process
Estimation of the statistical parameter
For the following parameters: mean, standard deviation, rate of occurrence, proportion.
- Determining the confidence interval of the parameter
- Determining the minimum sample size required to estimate the statistical parameter with a certain accuracy
Useful effect
For the following parameters: mean, standard deviation, rate of occurrence, proportion.
- Translation of the objective of reducing the defect rate in terms of the target effect on the statistical parameter.
- Determination of the minimum sample size required to detect the effect on the statistical parameter that achieves the objective of reducing the defect rate.
Detection of an effect
For the following parameters: mean, standard deviation, rate of occurrence, proportion.
- Detect the existence of an effect below or above a threshold value
- Determine the minimum sample size required to detect an effect at least equal to a certain size
- Determine the smallest detectable effect using two samples (resolution)
- Determine the detection power of an effect below or above a threshold value, using samples.
Techniques used: two-sample t-test, two-variance test, two-sample Poisson test, two-proportion test
Detection of a deviation from a target
For the following parameters: mean, standard deviation, rate of occurrence, proportion.
- Detect if a parameter differs from its reference value
- Determine the minimum sample size required to detect if a parameter differs from its reference value
- Determine the smallest detectable difference between the value of a parameter and its reference value, using a sample (resolution)
- Determine the detection power of a parameter’s deviation from its reference value, using a sample
Techniques used: one-sample t-test, variance test, one-sample Poisson test, proportion test.
Statoscopex Study
Statoscopex runs capability studies and factorial analysis on the four statistical parameters. Pick a family to jump to its calculators.
Capability Study
Statoscopex performs full capability analysis by estimating mean, standard deviation, occurrence rate, and proportion in a single view.
6 calculators
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Study of the Mean
Dedicated module for precise analysis, hypothesis testing, and detection of shifts or effects on the process mean.
8 calculators
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Study of the Standard Deviation
Tools focused on variability: study, test, and detect changes or deviations from the expected standard deviation.
6 calculators
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Study of the Rate of Occurrence
Analyzes count-based or event rates, detects deviations from a target rate, and estimates occurrence parameters with power calculation.
6 calculators
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Study of the Proportion
Specialized analysis of binary outcomes or proportions, including deviation detection, confidence intervals, and effect size evaluation.
6 calculators
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Calculators
Every Statoscopex analysis runs right here. Open the one you need — each panel holds its own form, and results appear in place.
Capability study
6 calculators
Continuous metric — Defect rate and precision
Expected defect rate of the process and the statistical precision of that estimate.
Continuous metric — Minimum sample size
Sample size required to estimate the parameter to a given precision.
Counting metric — Defect rate and precision
Expected defect rate of the process and the statistical precision of that estimate.
Counting metric — Minimum sample size
Sample size required to estimate the parameter to a given precision.
Binary metric — Defect rate and precision
Expected defect rate of the process and the statistical precision of that estimate.
Binary metric — Minimum sample size
Sample size required to estimate the parameter to a given precision.
Mean
8 calculators
Estimation — Confidence interval
Confidence interval of the parameter from an observed sample.
Estimation — Minimum sample size
Sample size required to estimate the parameter to a given precision.
Useful effect — Target effect from the objective
Translates a defect-rate reduction objective into the effect required on the parameter.
Useful effect — Sample size for the objective
Minimum sample size needed to detect the effect that meets the objective.
Detection of an effect — Test of the effect
Tests whether an observed effect between two samples is real and larger than a chosen threshold.
Detection of an effect — Sample size, resolution and power
Minimum sample size for an effect of a given size, smallest detectable effect, and detection power.
Detection of a deviation from a target — Test of the deviation
Tests whether an observed deviation from a reference value is real and large enough to matter.
Detection of a deviation from a target — Sample size, resolution and power
Minimum sample size for an effect of a given size, smallest detectable effect, and detection power.
Standard deviation
6 calculators
Estimation — Confidence interval
Confidence interval of the parameter from an observed sample.
Estimation — Minimum sample size
Sample size required to estimate the parameter to a given precision.
Useful effect — Target effect from the objective
Translates a defect-rate reduction objective into the effect required on the parameter.
Detection of an effect — Test of the effect
Tests whether an observed effect between two samples is real and larger than a chosen threshold.
Detection of an effect — Sample size and resolution
Minimum sample size for an effect of a given size, and the smallest effect a given sample can detect.
Detection of a deviation from a target — Test of the deviation
Tests whether an observed deviation from a reference value is real and large enough to matter.
Rate of occurrence
6 calculators
Useful effect — Target effect from the objective
Translates a defect-rate reduction objective into the effect required on the parameter.
Useful effect — Sample size for the objective
Minimum sample size needed to detect the effect that meets the objective.
Detection of an effect — Test of the effect
Tests whether an observed effect between two samples is real and larger than a chosen threshold.
Detection of an effect — Sample size, resolution and power
Minimum sample size for an effect of a given size, smallest detectable effect, and detection power.
Detection of a deviation from a target — Test of the deviation
Tests whether an observed deviation from a reference value is real and large enough to matter.
Detection of a deviation from a target — Sample size, resolution and power
Minimum sample size for an effect of a given size, smallest detectable effect, and detection power.
Proportion
6 calculators
Useful effect — Target effect from the objective
Translates a defect-rate reduction objective into the effect required on the parameter.
Useful effect — Sample size for the objective
Minimum sample size needed to detect the effect that meets the objective.
Detection of an effect — Test of the effect
Tests whether an observed effect between two samples is real and larger than a chosen threshold.
Detection of an effect — Sample size, resolution and power
Minimum sample size for an effect of a given size, smallest detectable effect, and detection power.
Detection of a deviation from a target — Test of the deviation
Tests whether an observed deviation from a reference value is real and large enough to matter.
Detection of a deviation from a target — Sample size, resolution and power
Minimum sample size for an effect of a given size, smallest detectable effect, and detection power.
