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The Following Results Are from a Statistics Software Package in Which

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The following results are from a statistics software package in which all of the F values and P-values are given. Is there a significant effect from the interaction? Should you test to see if there is a significant effect due to either A or B? If the answer is yes, is there a significant effect due to either A or B?  ANOVA Table  Source  DF  Sum squares  Mean square  F test  P-value A2164.02082.01025.010<.0001 B4230.78657.69718.002<.0001 Interaction 880.87910.1103.154.0031 Error 101323.7083.205 Total 115799.393\begin{array}{l}\text { ANOVA Table }\\\begin{array} { r | r | r | r | r | r } \text { Source } & \text { DF } & \text { Sum squares } & \text { Mean square } & \text { F test } & \text { P-value } \\\hline \mathrm { A } & 2 & 164.020 & 82.010 & 25.010 & < .0001 \\\mathrm {~B} & 4 & 230.786 & 57.697 & 18.002 & < .0001 \\\text { Interaction } & 8 & 80.879 & 10.110 & 3.154 & .0031 \\\text { Error } & 101 & 323.708 & 3.205 & & \\\text { Total } & 115 & 799.393 & & &\end{array}\end{array}


Definitions:

Compounded Quarterly

Interest calculation on the initial amount plus any accumulated interest four times a year.

Equal Payments

Regularly scheduled payments that are the same amount over a given period, commonly used in loans and mortgages.

Combined Equivalent

This term suggests a concept related to combining various elements to yield an equivalent value or function, but without specific context, its exact definition could vary widely.

Scheduled Payments

Predetermined payments made at regular intervals, such as monthly or annually, often related to a loan or mortgage.

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