Quality & Six Sigma 01
Calculate Defects Per Million Opportunities to measure and benchmark your process quality against Six Sigma performance standards.
Quality Six Sigma 3 inputs*
Simulation Lab
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Quality & Six Sigma 02
Convert your defect rate or process yield into a Sigma Level to understand where your process sits on the Six Sigma performance scale.
Quality Six Sigma 1 input*
Simulation Lab
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Quality & Six Sigma 03
Paste your process data and instantly calculate UCL, CL and LCL for I-MR or X̄-R charts.
Quality SPC Data paste*
Simulation Lab
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Quality & Six Sigma 04
Calculate the sample size for pass/fail data using zero-acceptance sampling, proportion estimation, or observed-defects confidence interval analysis.
Quality Acceptance Sampling 3 modes*
Simulation Lab
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Quality & Six Sigma 05
Paste your defect or cost data, rank categories from largest to smallest, and instantly visualise the Pareto principle.
Quality Analysis Data paste*
Simulation Lab
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Quality & Six Sigma 06
Calculate the cumulative first-pass yield across multiple process steps to find your true end-to-end quality rate.
Quality Six Sigma 2+ inputs*
Simulation Lab
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Quality & Six Sigma 07
Quantify the total financial impact of defects, rework, scrap, and warranty costs across your operation.
Quality Finance 4 inputs*
Simulation Lab
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Quality & Six Sigma 08
Measure process capability and centring using Cp and Cpk indices to assess whether your process meets specification limits.
Quality Capability 3 inputs*
Simulation Lab
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Quality & Six Sigma 09
Measure long-term process performance using overall standard deviation to assess whether your process meets specification limits.
Quality Performance 3 inputs*
Simulation Lab
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Statistics 01
Paste your data to instantly visualise the five-number summary, IQR, whiskers, and outliers.
Statistics Analysis Data paste*
Simulation Lab
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Statistics 02
Calculate mean, variance, and standard deviation for a dataset with step-by-step workings shown.
Statistics 1 input*
Simulation Lab
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Statistics 03
Determine the minimum sample size needed for continuous or attribute data given your confidence level and margin of error.
Statistics Sampling 3 inputs*
Simulation Lab
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Statistics 04
Calculate the probability of exactly k successes in n trials given a fixed probability p.
Statistics Probability 3 inputs*
Simulation Lab
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Statistics 05
Perform a one-sample or two-sample t-test and get the p-value, t-statistic, and decision at your chosen significance level.
Statistics Hypothesis Testing 3 inputs*
Simulation Lab
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Statistics 06
Upload a CSV or Excel file, select a numeric column, and get a full Minitab-style analysis with descriptive statistics, normality test, histogram, and box plot.
Statistics File upload*
Simulation Lab
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Statistics 07
Calculate the confidence interval for a population mean or proportion given sample data.
Statistics Estimation 3 inputs*
Simulation Lab
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Statistics 08
Paste two columns of data to calculate Pearson r, R², and the regression equation with a live scatter plot.
Statistics Regression Data paste*
Simulation Lab
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Statistics 09
Convert a raw score to a Z-score and find the corresponding probability or percentile.
Statistics 3 inputs*
Simulation Lab
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Lean & Manufacturing 01
Calculate Overall Equipment Effectiveness by breaking performance down into Availability, Performance and Quality.
Lean Manufacturing 3 inputs*
Simulation Lab
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Lean & Planning 01
Find the pace at which your process must produce one unit to exactly match customer demand.
Lean Planning 2 inputs*
Simulation Lab
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Lean & Planning 02
Calculate average cycle time from total production time and units produced.
Lean Planning 2 inputs*
Simulation Lab
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Lean & Planning 03
Break down total lead time into processing, waiting, and transport components to identify where delays are hiding.
Lean Flow 3 inputs*
Simulation Lab
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Lean & Planning 04
Calculate the ratio of value-added time to total lead time to understand how lean your process really is.
Lean Efficiency 2 inputs*
Simulation Lab
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Lean & Planning 06
Quantify the financial and capacity gains from reducing changeover time.
Lean Planning 4 inputs*
Simulation Lab
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Lean & Planning 07
Translate available time, cycle time and OEE into a realistic capacity figure.
Lean Capacity 4 inputs*
Simulation Lab
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🔒 Part of the Advanced Pack All 25 tools · £4.99
Advanced 01
Test whether the means of three or more groups are statistically equal. Essential for comparing process settings, materials, or operators.
Simulation Lab
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🔒 Part of the Advanced Pack All 25 tools · £4.99
Advanced 02
Build p-charts, np-charts, c-charts and u-charts for defective or defect count data where individual measurements aren't taken.
Simulation Lab
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🔒 Part of the Advanced Pack All 25 tools · £4.99
Advanced 03
Test for independence between categorical variables or goodness-of-fit. Perfect for analysing survey data and defect classification tables.
Simulation Lab
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🔒 Part of the Advanced Pack All 25 tools · £4.99
Advanced 04
Analyse relationships between two categorical variables with frequency tables, percentages, and chi-square significance testing.
Simulation Lab
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🔒 Part of the Advanced Pack All 25 tools · £4.99
Advanced 05
Detect small, sustained process shifts using Exponentially Weighted Moving Average and Cumulative Sum control charts.
Simulation Lab
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🔒 Part of the Advanced Pack All 25 tools · £4.99
Advanced 06
Build Ishikawa cause-and-effect diagrams interactively. Map the 6Ms to identify and visualise root causes of process problems.
Simulation Lab
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🔒 Part of the Advanced Pack All 25 tools · £4.99
Advanced 07
Design and analyse fractional factorial experiments to screen many factors efficiently with fewer runs than a full factorial.
Simulation Lab
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🔒 Part of the Advanced Pack All 25 tools · £4.99
Advanced 08
Compare the variances of two populations to determine whether process variation has significantly changed between two conditions.
Simulation Lab
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🔒 Part of the Advanced Pack All 25 tools · £4.99
Advanced 09
Assess whether your measurement system produces consistent bias across the full operating range — a key MSA requirement.
Simulation Lab
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🔒 Part of the Advanced Pack All 25 tools · £4.99
Advanced 10
Quantify repeatability and reproducibility in your measurement system. Determine whether variation is from the process or the gauge.
Simulation Lab
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🔒 Part of the Advanced Pack All 25 tools · £4.99
Advanced 11
Build histograms from raw data with automatic bin sizing, normal distribution overlay, and key descriptive statistics.
Simulation Lab
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🔒 Part of the Advanced Pack All 25 tools · £4.99
Advanced 12
Reduce complex multi-variable datasets using Principal Component Analysis. Identify the key factors driving variation in your process.
Simulation Lab
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🔒 Part of the Advanced Pack All 25 tools · £4.99
Advanced 13
Monitor multiple correlated quality characteristics simultaneously with T² charts and track rare events with g- and t-charts.
Simulation Lab
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🔒 Part of the Advanced Pack All 25 tools · £4.99
Advanced 14
Run Mann-Whitney, Kruskal-Wallis, Wilcoxon and other distribution-free tests when your data doesn't meet normality assumptions.
Simulation Lab
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🔒 Part of the Advanced Pack All 25 tools · £4.99
Advanced 15
Test whether your data follows a normal distribution using Anderson-Darling and Shapiro-Wilk before further statistical analysis.
Simulation Lab
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🔒 Part of the Advanced Pack All 25 tools · £4.99
Advanced 16
Test whether an observed proportion significantly differs from a target value. Ideal for pass/fail and defect rate comparisons.
Simulation Lab
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🔒 Part of the Advanced Pack All 25 tools · £4.99
Advanced 17
Compare before-and-after measurements on the same subjects to determine if a process change produced a significant difference.
Simulation Lab
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🔒 Part of the Advanced Pack All 25 tools · £4.99
Advanced 18
Calculate the probability of a given number of rare events occurring in a fixed interval — used for defect counts and arrival rates.
Simulation Lab
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🔒 Part of the Advanced Pack All 25 tools · £4.99
Advanced 19
Model the relationship between a continuous input and output. Predict process outcomes and quantify factor significance.
Simulation Lab
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🔒 Part of the Advanced Pack All 25 tools · £4.99
Advanced 20
Optimise process settings using central composite or Box-Behnken designs. Find the optimal combination of multiple input variables.
Simulation Lab
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🔒 Part of the Advanced Pack All 25 tools · £4.99
Advanced 21
Plot process data over time and apply run chart rules to detect non-random patterns, trends, and shifts without control limits.
Simulation Lab
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🔒 Part of the Advanced Pack All 25 tools · £4.99
Advanced 22
Forecast future process performance using moving average, exponential smoothing, and trend decomposition methods.
Simulation Lab
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🔒 Part of the Advanced Pack All 25 tools · £4.99
Advanced 23
Calculate statistical tolerance intervals to predict the range that will contain a specified proportion of future process output.
Simulation Lab
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🔒 Part of the Advanced Pack All 25 tools · £4.99
Advanced 24
Compare defect rates or pass/fail proportions between two process conditions, machines, or time periods with statistical rigour.
Simulation Lab
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🔒 Part of the Advanced Pack All 25 tools · £4.99
Advanced 25
Model product failure rates and predict reliability over time using Weibull distribution fitting. Essential for warranty analysis.
Simulation Lab
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