I have a survey with the following question:

"Which price do you think is fair for Product A?"

- Less than 14.95: (Enter a value here)
- 14.95
- 19.95
- 24.95
- 29.95
- 34.95
- More than 34.95: (Enter a value here)

I have a survey with the following question:

"Which price do you think is fair for Product A?"

- Less than 14.95: (Enter a value here)
- 14.95
- 19.95
- 24.95
- 29.95
- 34.95
- More than 34.95: (Enter a value here)

But probably that's not the real question. There is a mention of a t test. So are the subjects categorized into different groups and we want to know if the means are different? Or is there a true known value and SiaDx wants to know if the subjects are different from this? Or perhaps compare one product with another? Or what?

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A less common method which gets round the problem of the ends and non normality would be a resampling or a permutation test.

Multiple p values may be a further complication if you are testing multiple products.

As you have found, there are subtle difficulties in your current plan which could perhaps been avoided with a different survey design.

Who is the report going to, and what sort of thing are they hoping for?

The question above is posted to german and swiss customers and I want to investigate whether there is a difference in what these two groups consider to be a "fair" price for a certain product.

give reasonable results here, if sample size is not very small (at least n > 30).

In addition, you could compare the variances betweens groups, i.e. you can

analyse whether Swiss and German customers differ with regard to

degree of consensus within their respective group.

If you want to account for the fact that the data might be considered ordinal,

you can use median test (for the comparison of median values between groups),

or Wilcoxon rank sum test / Mann Whitney U-test (analysing whether the

values in one group tend to be higher than in the other group).

With kind regards

Karabiner