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

question 41

Multiple Choice

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) \(- 4.23468\)

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Definitions:

Cardiomyopathy

A disease of the heart muscle that affects its size, shape, and structure, often leading to heart failure.

Hyperlipidemia

A condition characterized by abnormally high levels of lipids (fats) in the blood, which can increase the risk of cardiovascular disease.

High-density Lipoproteins (HDLs)

A type of cholesterol in the blood known as "good" cholesterol because high levels may reduce the risk of heart disease by transporting cholesterol away from arteries to the liver for excretion or reuse.