Solve the total sum of squares (SST). In this equation, all observation groups from treatment 1 to 3 will be combined as one whole sample. All Observations will then be added and divided into the number of Observations to get the mean. The formula flow for solving the sum of squares is below: x̅ (x- x̅) (x- x̅)2 sum(x- x̅)2 Where x̅ = Mean, X = Observations. (Note: Sum of squares within treatment = Total sum of squares for treatment 1 + Total sum of squares for treatment 2 + Total sum of squares for treatment 3 20.66666667(T1) + 0.6666666667(T2) + 8.666666667(T3) = 30 Therefore, sum of squares within treatment = 30)
Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
1. Solve the total sum of squares (SST). In this equation, all observation groups from treatment 1 to 3 will be combined as one whole sample. All Observations will then be added and divided into the number of Observations to get the mean. The formula flow for solving the sum of squares is below:
|
x̅ |
(x- x̅) |
(x- x̅)2 | sum(x- x̅)2 |
Where x̅ = Mean, X = Observations.
(Note: Sum of squares within treatment = Total sum of squares for treatment 1 + Total sum of squares for treatment 2 + Total sum of squares for treatment 3
20.66666667(T1) + 0.6666666667(T2) + 8.666666667(T3) = 30
Therefore, sum of squares within treatment = 30)
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