It was 350 kilograms and then using this, using the sample, they were able to construct a confidence interval from 341 to 359 kilograms and so the confidence interval, I'll draw it like this. We actually aren't sure if it actually overlaps with the true mean like I'm drawing here but just for the sake of visualization purposes, let's say that this one happened to. The whole point of a 90% confidence level is if I kept doing this, so this is our first sample and the associated interval with that first sample and then if I did another sample, let's say this is the mean of that next sample so that's sample mean two and I have an associated confidence interval and that interval, not only the start and end points will change but the actual width of the interval might change depending on what my sample looks like. What a 90% confidence level means that if I keep doing this, that 90% of my confidence intervals should overlap with the true parameter, with the true population mean. So now with that out of the way, let's see which of these choices are consistent with that interpretation. Choice A, the elephant ate between 341 kilograms and 359 kilograms on 90% of all of the days. No, that is definitely not what is going on here.