A questionnaire item reads as follows:

Please rate the quality of the care you have received today at our clinic. A score of "12" means that everything was perfect. Conversely, a score of "1" means that everything was awful in terms of our service to you.

Overall, the services I received today were provided in a way that was:

1 (awful in every way)

7 (an even mix of awful and perfect)

12 (perfect in every way)

After having more than 300 people respond to this "quality control" survey you find that the mean score is 11.0, and the standard deviations are small (.5), meaning that 95% scored between a 10 and a 12. What is going on here?

a- this is an example of a "yah-saying" bias

b- this is an example of end aversion

c- this is an example of random error caused by demand effects

Answer should be typed format only without insert table or image.

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