Hey there, Im currently working on a project to compare the compression strength of chocolates with different inside filling (caramel, nuts, coconut). I came up with the hypothesis that chocolates filled with nuts would require the most force to break while chocolates with coconut the least, caramel being in the middle.(adsbygoogle = window.adsbygoogle || []).push({});

I constructed a device in which I could measure the amount of force required to break the chocolates and took 30 samples from each chocolate.

I calculated the sample mean and sample standard deviation for each chocolate.

My problem is is that enough to come to a conclusion regarding which is strongest?

I looked in to doing a normal standard distribution since this is continuous, but the more I thought about it the more confused I got. For one I don't know either the population mean or population standard deviation. Population mean isn't an issue since I can assume it to be the sample mean for n>=30 (which is the case). But when I look at examples for standard normal distributions they aren't similar to my experiment in that they usually have a hypothesis with a fixed numerical value and are trying to refute the claim.

I have 3 different chocolates here, no numerical values in my hypothesis. I'm sorry if this doesn't make sense but the more I'm reading the more confused I'm getting. I'm looking into regression analysis at the moment but I still don't know how that would relate the 3 different chocolates.

Any direction/help would be greatly appreciated, thanks!

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# Comparing Compression strength of chocolates

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