Sensory Evaluation Food Nutritional Sciences Course 1 How the Cookie Crumbles Developing a Sensory Evaluation Instrument List all important characteristics Narrow list to 5 items Develop a scale for each characteristic from one extreme to
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Sensory Evaluation Food & Nutritional Sciences Course 1
How the Cookie Crumbles<br>
02
Developing a Sensory Evaluation Instrument List all important characteristics
Narrow list to 5 items
Develop a scale for each characteristic from one extreme to another
Example: Chewiness goes from too chewy to too crunchy
Draw a 10cm line and place the extremes at either end of the line.
Repeat for all characteristics<br>
03
Hypothesis Before we can collect any data, we have to have a hypothesis to test for each item.
Null hypothesis always states “no difference”
Alternate hypothesis states “difference”
Example for chewiness:
Null: There is no difference in chewiness between the original recipe and the healthy recipe.
Alternate: There is a difference in chewiness between the original recipe and the healthy recipe.<br>
04
Hypothesis Note: we didn’t state a direction of difference (chewier or crunchier)
Write a hypothesis for each item.
We’ll explain testing after we have data.<br>
05
Data Entry Measure the distance from the left side of the line to the participant’s mark on each item and write in the margin (in centimeters).
The number of centimeters – with decimal values – is the data.
Enter into the cell for the participant and item #.
Automatically calculates significance for you.
If p < 0.05, there is a difference between the cookies.<br>
06
Data Entry Enter all data in the spreadsheet:<br>
07
Data Collection Decide on a labeling plan (and stick to it!)
participant number
Something to indicate healthy or original WITHOUT revealing to participant
Present participant with on cookie on a plate & have taste
Provide form & allow them to continue tasting while completing form<br>
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Data Collection Repeat with the other cookie
You need 40 participants!<br>
09
Data Analysis The spreadsheet has formulas ready to go
You can type in the blue cells only.<br>
10
Data Analysis If the p-value is less than 0.05, reject the null hypothesis
There is a significant difference between the cookies
If two-tailed t-score is greater than 0.05, keep the null hypothesis.
There is not a significant difference between the cookies
Repeat for all items and record your findings.<br>
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Drawing Conclusions Conclusions are the decisions you make based on your results.
On which items did you have a significant difference between cookies?
What do you think that means about people’s cookie choices?
Do you think your healthy option cookies will sell?<br>
