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A Beverage Distributor Wanted to Determine the Combination of Advertising \quad

Question 70

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A beverage distributor wanted to determine the combination of advertising agency (two levels) and advertising medium (three levels) that would produce the largest increase in sales per advertising dollar. Each of the advertising agencies prepared ads as required for each of the media-- newspaper, radio, and television. Twelve small towns of roughly the same size were selected for the experiment, and two each were randomly assigned to receive an advertisement prepared and transmitted by each of the six agency-medium combinations. The dollar increases in sales per advertising dollar, based on a 1-month sales period, are shown in the table. \quad \quad \quad \quad \quad \quad \quad  Advertising Medium \text { Advertising Medium }
 Newspaper  Radio  Television  Agency 1 15.3,12.717.4,20.112.7,16.2 Agency 2 22.4,18.924.3,28.812.5,9.4\begin{array}{l}\begin{array}{l|c|c|c} & \text { Newspaper } & \text { Radio } & \text { Television } \\\hline \text { Agency 1 } & 15.3,12.7 & 17.4,20.1 & 12.7,16.2 \\\text { Agency 2 } & 22.4,18.9 & 24.3,28.8 & 12.5,9.4\end{array}\end{array}

\quad \quad \quad \quad \quad \quad \quad \quad \quad \quad { }^{* *} ANALYSIS OF VARIANCE**
SALES
BY AGENCY
MEDIUM


 Source of Variation  Sum of  Squares  DF  Mean  Square  F  Signif  of F  Main Effects 238.299379.43313.934.004 AGENCY 39.967139.9677.011.038 MEDIUM 198.332299.16617.395.003 AGENCY"MEDIUM 77.345238.6726.784.029 Explained 315.644563.12911.074.005 Residual 34.20565.701 Total 349.8491131.804\begin{array}{lrrrrr}\text { Source of Variation } & \begin{array}{r}\text { Sum of } \\\text { Squares }\end{array} & \text { DF } & \begin{array}{l}\text { Mean } \\\text { Square }\end{array} & \text { F } & \begin{array}{r}\text { Signif } \\\text { of F }\end{array} \\\\{\text { Main Effects }} & 238.299 & 3 & 79.433 & 13.934 & .004 \\\text { AGENCY } & 39.967 & 1 & 39.967 & 7.011 & .038 \\\text { MEDIUM } & 198.332 & 2 & 99.166 & 17.395 & .003 \\\\\text { AGENCY"MEDIUM } & 77.345 & 2 & 38.672 & 6.784 & .029 \\\\\text { Explained } & 315.644 & 5 & 63.129 & 11.074 & .005 \\\text { Residual } & 34.205 & 6 & 5.701 & & \\\text { Total } & 349.849 & 11 & 31.804 & &\end{array}
(Note: SPSS uses "Explained" instead of "Treatment" in the factorial analysis. Also, SPSS uses "Residual" instead of "Error.") Would you test the main effects factors, agency and medium, in this example? Explain why or why not.

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