Answer: To calculate the mean square treatment (MST), we need to have the sums of squares for treatment (SST) and the degrees of freedom for treatment (dfT).
Assuming that there are k treatment groups and a total of n observations, we can calculate SST and dfT as follows:
SST = Σ(xi - x_bar)^2 - Σ(yi - y_bar)^2 / n
where xi is the dried weight of plants for the i-th treatment group, x_bar is the mean dried weight of plants for all treatments combined, yi is the dried weight of plants for the control group, and y_bar is the mean dried weight of plants for the control group.
dfT = k - 1
Once we have calculated SST and dfT, we can find MST by dividing SST by dfT:
MST = SST / dfT
Note that SST is the sum of squares for treatment, which represents the variation in the response variable that is due to the different treatment conditions. MST represents the average amount of variation in the response variable that can be attributed to the treatment conditions.
Without knowing the specific values for the dried weight of plants, it is not possible to calculate SST and dfT, and therefore the MST.
Explanation: