Clueless in need of Help in experimental design and analysis method

Hi guys,
I need to plan and submit a small report, in a customer behaviour course that haunts me over a 2nd year already...

I need to evaluate if the numerical representation I am using for some product's spec. will affect the custumer willingnes to buy it (quantitative parameter). The scale is my main concern - narrow scale vs wide scale ( e.g. warranty in years vs warranty in months..etc).

I also need to add and test a qualitative parameter , and it's effect on willingness to buy the product, and at the end - do the two parameters interact ( 1st quantitative with the 2nd qualitative,,,)

How should I plan my survey?
What is the correct way to analyze the data ?

Please give a brother in need a hand....
(I'll be Happy to add more details I'd needed - I'm desperate ;( )

I was thinking on showing the two products with their stats and ask to rate each of them, on a 1-10 scale according to the willingness to purchase each. 1 group will see the narrow scale stats (1% active ingredient vs 3% active ingredient) and 2nd group will see wider scale (1000 active units vs 3000 active units). I was thinking to use a t-test on the avreges inside each group. What should I use to compare the two groups? ( If we'll see adifference in the reaction to the scales)?


Less is more. Stay pure. Stay poor.
Please write out your question so we know what variables to think about. If you need a continuous, categorical, and multiplicative interaction for whether a purchase is made - this sounds like multiple logistic regression. We don't know your content area, so we can't tell you what variables to use. Of note, if you collect warranty days as a predictor, this can easy be converted to a more macro-level variable later on. This is commonly done in logistic regression, you can enter it as days or month and look to see which is more meaningful, likely the latter.