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Data Was Collected from CEOs of Companies Within Both the Low-Tech

question 7

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Data was collected from CEOs of companies within both the low-tech industry and the consumer products industry. The following printout compares the mean return-to-pay ratios between CEOs in the low-tech industry with CEOs in the consumer products industry. HYPOTHESIS: MEAN X = MEAN Y SAMPLES SELECTED FROM RETURN
 industry 1 (low tech)   (NUMBER =15 )   industry 3 (consumer products)   (NUMBER =15 )  \begin{array} { l l l } \text { industry } 1 & \text { (low tech) } & \text { (NUMBER } = 15 \text { ) } \\ \text { industry } 3 & \text { (consumer products) } & \text { (NUMBER } = 15 \text { ) } \end{array}
X= industry1 Y= industry 3\begin{array} { l } X = \text { industry1 } \\Y = \text { industry } 3\end{array}
 SAMPLE MEAN OF X =157.286 SAMPLE VARIANCE OF X=1563.45 SAMPLE SIZE OF X =14 SAMPLE MEAN OF Y=217.583 SAMPLE VARIANCE OF Y=1601.54 SAMPLE SIZE OF Y =12 MEAN X - MEAN Y=60.2976t=4.23468PVALUE=0.000290753 P-VALUE /2=0.000145377 SD. ERROR=14.239\begin{array}{l}\text { SAMPLE MEAN OF X \( =157.286 \) }\\\text { SAMPLE VARIANCE OF \( X=1563.45 \) }\\\text { SAMPLE SIZE OF X \( =14 \) }\\\text { SAMPLE MEAN OF \( Y=217.583 \) }\\\text { SAMPLE VARIANCE OF \( Y=1601.54 \) }\\\text { SAMPLE SIZE OF Y \( =12 \) }\\\\\text { MEAN X - MEAN } Y=-60.2976 \\t=-4.23468 \\\mathrm{P}-\mathrm{VALUE}=\quad 0.000290753 \\\text { P-VALUE } / 2=0.000145377 \\\text { SD. } \mathrm{ERROR}=14.239 \\\end{array} Using the printout, which of the following assumptions is not necessary for the test to be valid?

Understand the function of control accounts and subsidiary ledgers.
Understand the process of recording closing and reversing entries.
Grasp the basics of the income statement preparation and its components.
Understand the process and importance of adjusting entries in financial statements.

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