Questions: A wedding website states that the average cost of a wedding is 29,065. One concerned bride hopes that the average is less than reported. To see if her hope is correct, she surveys 45 recently married couples and finds that the average cost of weddings in the sample was 27,360. Assuming that the population standard deviation is 6097, is there sufficient evidence to support the bride's hope at the 0.01 level of significance?

A wedding website states that the average cost of a wedding is 29,065. One concerned bride hopes that the average is less than reported. To see if her hope is correct, she surveys 45 recently married couples and finds that the average cost of weddings in the sample was 27,360. Assuming that the population standard deviation is 6097, is there sufficient evidence to support the bride's hope at the 0.01 level of significance?
Transcript text: A wedding website states that the average cost of a wedding is $\$ 29,065$. One concerned bride hopes that the average is less than reported. To see if her hope is correct, she surveys 45 recently married couples and finds that the average cost of weddings in the sample was $\$ 27,360$. Assuming that the population standard deviation is $\$ 6097$, is there sufficient evidence to support the bride's hope at the 0.01 level of significance? Step 2 of 3: Compute the value of the test statistic. Round your answer to two decimal places.
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Solution

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Solution Steps

Step 1: Calculate the Standard Error

To determine the standard error \( SE \) of the sample mean, we use the formula:

\[ SE = \frac{\sigma}{\sqrt{n}} = \frac{6097}{\sqrt{45}} \approx 908.89 \]

Step 2: Compute the Test Statistic

Next, we calculate the Z-test statistic using the formula:

\[ Z = \frac{\bar{x} - \mu_0}{SE} = \frac{27360 - 29065}{908.89} \approx -1.88 \]

Step 3: Determine the P-value

For a left-tailed test, we find the probability associated with the calculated Z-test statistic:

\[ P = T(z) \approx 0.03 \]

Final Answer

The test statistic is approximately \( Z \approx -1.88 \) and the P-value is approximately \( P \approx 0.03 \).

Thus, the final answer is:

\[ \boxed{Z = -1.88} \]

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