For each question, enter T for true or F for false. • 1. The purpose of Two-Way ANOVA is to examine the independent effects of two factors/treatments on a dependent variable and the effect on the dependent variable of the interaction between the two factors. • 2. Two assumptions are required to justify using Two-Way ANOVA. They are: A. the sample values in each cell are randomly selected from a normal population, B. the sample variances are equal. • 3. Three indices are used in Two-Way ANOVA. They are a, b, and r. The r stands for the number of replications in each Treatment A, Treatment B cell. • 4. In a balanced Two-Way ANOVA r = 2 replications in each cell. • 5. For Two-Way ANOVA, ignoring subscripts, the linear model is x-u+a+B+aß+e • 6. In the equation in #5 above, e tells us how much residual is not explained by the interaction term.

Q: can you do vii on paper

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Q: 3. 42P 4-2p-1 =

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A: Simplify  25m2-16

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A: Total female = 133+43 = 178 Total "did not graduate" = 55+43 = 98 Grand total= (126+55+133+43)  =…

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A: data in ascending order:- 2, 12, 14, 28, 28, 30, 32, 34, 34, 34, 42, 44, 50, 52, 58, 60, 72, 78

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A: Explanation and solution is given below....

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A: Five time 2 means multiplication of 5 and 2

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A: Answer

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A: Partial derivative with respect to x means treat y constant.

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A: The given expression is

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A: Eigenvalue: A number  is said to be an eigenvalue of a matrix A if there exists a non-zerovector x…

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A: The given matrix is:We know that the inverse of a matrix exist if the matrix is non - singular.i.e.…

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A: ab=ab