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 with CEOs in the consumer products industry.

HYPOTHESIS: MEAN X = MEAN $Y$
$\begin{array}{l}\text { SAMPLES SELECTED FROM RETURN }\\\begin{array}{lll}\text { industry } 1 & \text { (low tech) } & \text { (NUMBER }=15 \text { ) } \\\text { industry } 3 & \text { (consumer products) } & \text { (NUMBER }=15) \end{array}\end{array}$

$X =$ industry1
$\mathrm { Y } =$ industry3
SAMPLE MEAN OF $X = 157.286$
SAMPLE VARIANCE OF $X = 1563.45$
SAMPLE SIZE OF $X = 14$
SAMPLE MEAN OF $\mathrm { Y } = 217.583$
SAMPLE VARIANCE OF $Y = 1601.54$
SAMPLE SIZE OF $\mathrm { Y } = 12$

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

If we conclude that the mean return-to-pay ratios of the consumer products and low tech CEOs are
Equal when, in fact, a difference really does exist between the means, we would be making a__________.

A) Type I error
B) correct decision
C) Type II error
D) Type III error