# Overview of DiscoverSim™ Menu and Dialogs

## Run Simulation

**Replications**value sets the number of simulation replications.**Seed**is set to**Clock**by default so that the starting seed of random number generation will be different with each run. If you want the simulation results to match every time (for example in a classroom setting where you want all students to obtain the same results), select**Value**and enter an integer number. Note that the results of a fixed seed for 32-bit Excel will be slightly different for 64-bit Excel.- Select
**Monte Carlo (Random)**for full randomization.**Latin Hypercube Sampling**is less random than Monte Carlo but enables more accurate simulations with fewer replications. - For details on Random Number Generation (RNG) in DiscoverSim, see Appendix: Input

Distribution Random Number Generation. **Accelerated Mode**uses DiscoverSim’s Excel Formula Interpreter to dramatically increase the speed of calculations for rapid simulation. If unchecked, the calculations are performed using native Excel. The interpreter supports the majority of all Excel numeric functions (for more details see Appendix: DiscoverSim Engine and Excel Formula Interpreter). If the DiscoverSim interpreter sees a function that it does not support, you will be prompted to use Excel’s Native mode.**Run Validation using Native Excel**runs a validation test to compare Accelerated Mode versus Native Excel. Each output is assessed by comparing the simulation means. If the worst case relative difference is less than or equal to 1e-10%, the test passes and the status is “Success”. If the relative difference is between 1e-10% to 1e-4%, the status is “Good”, and if greater than or equal to 1e-4%, the test status is “Poor”.-
**Check Independence (Ignore Correlations)**to run the simulation with all inputs independent of each other (zero correlation). This is recommended if you are running a**Sensitivity Regression Analysis.** - Check
**Store Simulation Data in Worksheet**to store simulation input and output data in a worksheet. The number of simulation replicates or runs must not exceed the maximum number of rows permitted in the version of Excel that you are using and the total number of inputs and outputs cannot exceed the maximum number of columns permitted by Excel. - Click
**Report Options/Sensitivity Analysis**to display all report options. **Histograms**,**Probability Plots**,**Descriptive Statistics**, and**Process Capability Report**are checked by default for display in the simulation report. These graphs and tables apply only to the output response data. A report will be produced for each output.**Histograms**will display a normal curve and specification limits (if applicable).**Probability Plots**are normal probability plots, but only display a small sample of the data to speed up the report display.**Descriptive Statistics**include confidence intervals for Mean, StdDev, and Median with a default 95% level. The confidence level can be modified. Descriptive statistics also include the normality tests: Anderson-Darling, Skewness and Kurtosis.**Process Capability Report**requires at least one specification limit.- Check
**Percentile Report**to view a table with the following percentiles: 0.135, 1, 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 85, 90, 95, 99, 99.865.**Additional Percentiles**can be added to the report by entering the desired values, separated by a space.

A**Percentile Process Capability**report is also produced. These indices should be used if the output response is not normally distributed:

Percentile Pp = (USL – LSL)/( 99.865 percentile – 0.135 percentile)

Percentile Ppu = (USL – 50th percentile)/(99.865 percentile – 50th percentile)

Percentile Ppl = (50th percentile – LSL)/(50th percentile – 0.135 percentile)

Percentile Ppk = min(Ppu, Ppl)

**Tip:**Percentile Process Capability indices require a minimum of 10,000 replications in order to be reliable.

- Check
**Scatter Plot/Correlation Matrix**to view a Scatter Plot of outputs versus outputs, outputs versus inputs, and inputs versus inputs. The correlation matrix includes both Pearson and Spearman Rank correlation coefficients. Spearman Rank is recommended for non-normal data. - Check
**Sensitivity/Regression Analysis**to perform a backwards stepwise regression analysis. This can be run on a specific output or all outputs.

**Hierarchy**options are: - Linear (Main Effects)
- Linear & Quad (Main Effects and Quadratic Terms
- Linear & Cross (Main Effects and Cross-Product 2-Way Interactions)
- Linear, Cross & Quad (Main Effects, Cross-Product 2-Way Interactions and Quadratic Terms)
- None
- Std: Mean=0, StdDev=1 ((Xi – Mean)/StdDev)
- Range -1 to +1 (Coded Xmin = -1; Xmax = +1)
- Check Sensitivity Charts to view vertical bar chart(s) of:
**Correlation Coefficients**– Sorted Spearman Rank correlation for output versus each input. The sort is by magnitude, with the chart x-axis range being -1 to +1.**Regression Coefficients**– Sorted R-Square values for output versus each input, Cross-Product and Quadratic term that remain in the Stepwise Regression model. R-Square for each final model term is obtained by sequentially removing and replacing each term from the model, with the decrease in model R-Square used as the term value.

**Standardize**options are:

**F to Enter**allows you to set the value of F to enter a new variable in the model (default is 4).

**F to Remove**allows you to set the value of F to remove a variable from the model (default is 4).

**Note:**As mentioned above, it is highly recommended that you check

**Independence (Ignore Correlations)**when performing a

**Sensitivity/Regression Analysis**to avoid problems with multi-collinearity.

# Web Demos

Our CTO and Co-Founder, John Noguera, regularly hosts free Web Demos featuring SigmaXL and DiscoverSim**Click here to view some now!**

# Contact Us

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