What is it?
Why would I use it?
To identify attributes that panelists used to differentiate between the products.
Setup options
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To generate the Product Summary sheet, under 2. Select Options , select Product summary .
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The Analysis Options from Defaults area indicates what your default selections for ANOVA model and post hoc test are. If a change is necessary, click Change Advanced Analysis Options .
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Analysis Overview
"
Analysis performed using analysis of variance (2-way) with samples X panelists interaction and Tukey's HSD at alpha=0.05 ".
Often
Product Means Radar Graphs is the first sheet. We provided more details about the above statement in the workflow for the
Product Means Radar Graphs sheet.
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Post hoc and significance levels . The post hoc here reflects the analysis that is selected in the Defaults . Significance levels are always indicated as being at alpha level 0.1, 0.05 or 0.01, regardless of selection made in the Defaults .
- Attributes . A list of attributes included in the analysis, one attribute per row.
- Significance . Significance is based on the ANOVA analysis. Each attribute indicates whether there is a significant difference at the corresponding alpha level.
- Samples . A list of samples included in the analysis, one sample per column.
- Means . Panel/Rep mean by Attribute and Sample.
- Post hoc lettering . identifies which products are significantly different from another.
Example Conclusion
As suspected based on the
Product Means Radar Graphs ,
Apple Juice 4 is significantly different in all attributes, except
Viscosity .