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Researchers studied the compression strength in lbs of 12-oz aluminum cans. A simple random sample of 35 aluminum cans filled
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Answer #1

Solution :

1) Null and alternative hypotheses :

The null and alternative hypotheses would be as follows :

\large H_{0}: \mu_{1}=\mu_{2}

\large H_{1}: \mu_{1}>\mu_{2}

2) Test statistic :

To test the hypothesis we shall use two independent samples t-test assuming equal population variances. The test statistic is given as follows :

(11 – T2) t= S2 ( n + b) pooled

Where, Spooled (n1 – 1)si + (n2 – 1)sı ni + n2 - 2

​​​​​1, x̄​​​​​2 are sample means, s​​​​​​1, s​​​​​​2 are sample standard deviations and n​​​​​1, n​​​​​​2 are sample sizes.

We are given the following values :

\large \bar{x}_{1} = 554,\ \ \bar{x}_{2} = 540

\large s_{1} = 15,\ \ s_{2} = 21

\large n_{1} = 35,\ \ n_{2} = 30

\large S^{2}_{pooled} = \frac{(35-1)(15)^{2}+(30-1)(21)^{2}}{35+30-2} = 324.4286

\large \therefore t = \frac{(554-540)}{\sqrt{324.4286\times\left ( \frac{1}{35}+\frac{1}{30} \right ) }} =3.124

The value of the test statistic is 3.124.

3) P-value :

Since, our test is right-tailed test, therefore we shall obtain right-tailed p-value for the test statistic. The right-tailed p-value is given as follows :

P-value = P(T > t)

P-value = P(T > 3.124)

P-value = 0.0013

The p-value is 0.0013.

Decision :

Significance level = 0.05

P-value = 0.0013

(0.0013 < 0.05)

Since, p-value is less than the significance level of 0.05, therefore we shall reject the null hypothesis (H​​​​​​0) at 0.05 significance level.

4) Conclusion :

At 0.05 significance level, there is enough evidence that the mean compression strength of aluminum cans filled with cola is more than the mean compression strength of aluminum cans filled with strawberry soda.

Please rate the answer. Thank you.

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