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

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 and CEOs in the consumer products industry.

HYPOTHESIS: MEAN X = MEAN Y
SAMPLES SELECTED FROM RETURN
industry $1 \quad$ (low tech) $\quad ( \mathrm { NUMBER } = 15 )$
industry $3 \quad$ (consumer products) $\quad ( \mathrm { NUMBER } = 15$ )

$X =$ industry1
$\mathrm { Y } =$ industry3
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 $= - 60.2976$
$\mathrm { t } = - 4.23468$
$\mathrm { P } - \mathrm { VALUE } = 0.000290753$
P-VALUE $/ 2 = 0.000145377$
SD. ERROR $= 14.239$

Using the printout above, find the test statistic necessary for testing whether the mean return-to-pay ratio of low tech CEO's exceeds the return-to-pay ratio of consumer product CEOs.

A) $14.239$
B) $- 60.2976$
C) $.000145377$
D) $- 4.23468$