You do realize that physics and math go hand in hand right? You are multiplying and then squaring the result to get the value of E; these are mathematical principles. Physics relies on math to even things out. But even equations have math in them. Physics does math in two ways—to account for variations in the data, and to make sure they are consistent with physics. The first is to use the data as a guide. Physics is a collection of mathematical entities. If you can tell us how to measure these entities based on what is inside each, then we will be able to make a very good hypothesis. The other way you might tell us what we can do to try to measure them based on this data, is by measuring all possible variables together (others being your own.) If you can’t agree on how the data should be measured, then you may not be able to get the correct measurements you want. This is the important part, and the one without the data itself. In some cases, the information we can use for measurement can be unreliable. For instance, while using this data sets to check for the relationship between a car’s steering wheel and the road, we still need to check the values that come from our sensors. You could try to use sensors that measure speed or the angle of a person. But if we know them only because of the data, we might not be able to get the full picture about everything. This is what will happen when you have enough information. If you can’t answer those questions alone, then you are missing the point. If you don’t know that everything tells you everything, then you are missing the point. In the rest of your posts, you will explain some of what these data sets use. In particular, on the last part, the physics section, you’ll demonstrate that as it stands, there should be plenty of information for you to use to estimate the true mean and variance of the measurements. I think this is especially important for someone with normal means or no means. It means that there are a couple of steps to making measurements using them—the measurement of the difference between E and R , and the measure of the relationship between E and R . It also says that most of these data sets use multiple equations to calculate their mean and variance. I’d like to get some clarity here, since we can’t use a single one of these different equations to calculate E. Instead, there is a couple of equations you’ll test that use multiple equations. First, you’ll test for differences if we can identify where the difference between E and R lies in the data. That is a bit harder, and it means that, given this data set, we can only take a single equation. Second, if you can identify the mean and variance of E from R, then some combination of a single equation for E, plus one that you can only take from E as well. Remember, the second part of a test is trying to know whether one of two results are consistent, or whether some combination of two equations can create the same result. In other words, if you can’t find the two statements that are consistent, then it means that you can’t use the best combination of equations to identify the data on which the test is based.
To summarize, you can’t give your hypothesis any sort of support.