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A company warveyed aduit Americans about the consumer debit. They reported that 15% of Millennials (the bombeban 1996) Chose


TOURTTACHER Acompany surveyed adult Americans host their consumer det. They reported that 48% of ini (those barn between 1900
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Answer #1

Here

For Gen Xers :

\widehat{p}_{1}=0.59

n1 = 300

For Millennials :

\widehat{p}_{2}=0.48

n2 = 450

The pooled sample proportion (\widehat{p}) is,

\widehat{p}=\frac{\widehat{p}_{1}*n_{1}+\widehat{p}_{2}*n_{2}}{n_{1}+n_{2}}

  =\frac{0.59*300+0.48*450}{300+450}

= 0.524

Now

Test statistic is,

Z=\frac{\widehat{p}_{1}-\widehat{p}_{2}}{\sqrt{\widehat{p}(1-\widehat{p})\left ( \frac{1}{n_{1}}+\frac{1}{n_{2}} \right )}}

=\frac{0.59-0.48}{\sqrt{0.524(1-0.524)\left ( \frac{1}{300}+\frac{1}{450} \right )}}

= 2.95502

  \approx 2.96

Since this is a one-tailed test, the p-value represents the probability that the z-score is greater than 2.96.

P(Z>2.96) = 1-P(Z\leq 2.96)=1-0.9985=0.0015

The P- value is 0.0015

Decision Rule :

Rejecting the null hypothesis when the P-value is less than the significance level.

Here

Significance level.= \alpha = 0.05

Calculated P -value = 0.0015

Since p value is less than \alpha , we reject H0

We reject H0, we have convincing evidence that the proportion of Gen Xers who do not pay off their credit cards each month is greater than the proportion for Millennials.

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