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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:

Depressive Attributional Style

A cognitive style where individuals attribute negative events to internal, global, and stable causes, which is associated with depression.

Global Factors

Influences that affect economies, businesses, or individuals on a worldwide scale.

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Describes a condition where a person experiences rapid and exaggerated changes in mood.

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Refers to the physiological and psychological state of being awake, alert, and engaged with the environment.

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