Hi!
I am trying to analyze kinetic data for different conditions that plateau at different Y values. I am currently using graphpad's one phase decay. The problem is that this method calculates the K by how fast it reaches it's plateau. One of my data sets, set B, has little activity which causes the K to be high since it reahces the plateau quickly. Meanwhile, another data set has a large exponential increase phase and then plateuas but the K is similar to data set B. How can I show quantitatively that these rates are different? I have attached an example graphpad and excel file.
Thank you!
First, the data is arranged, and then statistical programs are used for this purpose, and they can help you in that
Plateaus are a scientific constructs that require deep analysis. Keep us in the loop
The hypotheses of interest in an ANOVA are as follows:
H0: μ1 = μ2 = μ3 ... = μk
H1: Means are not all equal.
where k = the number of independent comparison groups.
In this example, the hypotheses are:
H0: μ1 = μ2 = μ3 = μ4
H1: The means are not all equal.
The null hypothesis in ANOVA is always that there is no difference in means. The research or alternative hypothesis is always that the means are not all equal and is usually written in words rather than in mathematical symbols. The research hypothesis captures any difference in means and includes, for example, the situation where all four means are unequal, where one is different from the other three, where two are different, and so on. The alternative hypothesis, as shown above, capture all possible situations other than equality of all means specified in the null hypothesis.
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