|
A sensory panel is the most effective, most natural tool to describe the complex properties of food that trigger our five senses when consuming a product.
Quali-Sense is the best companion a panel leader can hope for. Using a set of statistical tests, Quali-Sense detects the personal strengths and weaknesses of each assessor in your panel. Discover the panelists’ sensitivity, reproducibility or cross-over issues for each attribute; check the global panel agreement. And use this information to further train and qualify your panel, such that you can keep on developing unique products.
Features:
1) 5 panelist performance tests
2) Plots for direct data and result visualization
3) Color-coded result tables for easy interpretation
4) Auto Generated Summary Report
Benefits:
1) Detect panelists who are not replicating their assessments accurately.
2) Locate panelists who misunderstood the scale.
3) Evaluate the sensitivity performance of each panelist and needs for retraining.
4) Select reliable panelists and attributes.
Quali-Sense: http://www.camo.com/downloads/products/quali-sense.zip
Regression Analysis and Forecasting: http://www.business-spreadsheets.com/download/regfor.zip
The Multiple Regression Analysis and Forecasting model provides a solid basis for identifying value drivers and forecasting business plan data. While it utilises a range of commonly employed statistical measures to test the validity of the analysis, results are summarized in text for ease of use. Once relationships have been identified, forecasting can be accomplished based on a range of available methodologies. The intuitive step-by-step usage flow enables you to develop strong forecasts for your projects in a timely manner. The key features of the Multiple Regression Analysis and Forecasting model include: Ease and flexibility of input, with embedded help prompts; User-friendly results display for the 'Non-statistician'; Multiple and Individual Regression of independent variables; Tests for statistical significance, auto-correlation, and multi-colinearity; and Quick forecasting process with options to employ 3rd polynomial, 2nd polynomial, exponential or linear trend lines on independent variables. |