Construct a 95% confidence interval for the true mean. Sketch the graph of the situation. Label the point estimate and the lower and upper bounds of the confidence interval. (Round your lower and upper bounds to the nearest whole number.)

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**Tire Longevity Statistical Analysis**

A tire manufacturer claims that its deluxe tire models have an average lifespan of at least 50,000 miles before needing replacement. In previous studies, the standard deviation for this type of tire was found to be 8,000 miles. A recent survey was conducted with 32 tire owners, resulting in an average tire lifespan of 46,600 miles and a standard deviation of 9,800 miles. Given a significance level of alpha = 0.05, is this data consistent with the manufacturer's claim?

**Parts of the Analysis:**

**Part (a):** [No information provided]

**Part (b):** [No information provided]

**Part (c):** [No information provided]

**Part (d):** Statistical Distribution Information
- Indicate the distribution to be utilized for evaluation. 
- Formula: \(\bar{X} \sim\) (mean, standard deviation)

**Part (e):** Test Statistic Calculation
- Determine the test statistic. 
- Use the \(z\) distribution if applicable. Enter your results to two decimal places.

**Part (f):** [No information provided]

**Part (g):** [No information provided]

**Part (h):** [No information provided]

**Part (i):** Confidence Interval Construction
- Develop a 95% confidence interval to estimate the true mean. Include a diagram depicting the scenario.
- Annotate the point estimate and both the lower and upper bounds of the confidence interval, adjusting to the nearest whole number.

**Graph Description:**
- A bell-shaped curve represents the confidence interval.
- The middle of the curve is marked "95% C.I.," indicating the range where the true mean is likely to fall.
- Areas under the curve outside the marked interval represent the tails or extremities of the considered data distribution.

Understanding this statistical analysis will help in determining whether the observed data supports the manufacturer's claim regarding their tire lifespan.
Transcribed Image Text:**Tire Longevity Statistical Analysis** A tire manufacturer claims that its deluxe tire models have an average lifespan of at least 50,000 miles before needing replacement. In previous studies, the standard deviation for this type of tire was found to be 8,000 miles. A recent survey was conducted with 32 tire owners, resulting in an average tire lifespan of 46,600 miles and a standard deviation of 9,800 miles. Given a significance level of alpha = 0.05, is this data consistent with the manufacturer's claim? **Parts of the Analysis:** **Part (a):** [No information provided] **Part (b):** [No information provided] **Part (c):** [No information provided] **Part (d):** Statistical Distribution Information - Indicate the distribution to be utilized for evaluation. - Formula: \(\bar{X} \sim\) (mean, standard deviation) **Part (e):** Test Statistic Calculation - Determine the test statistic. - Use the \(z\) distribution if applicable. Enter your results to two decimal places. **Part (f):** [No information provided] **Part (g):** [No information provided] **Part (h):** [No information provided] **Part (i):** Confidence Interval Construction - Develop a 95% confidence interval to estimate the true mean. Include a diagram depicting the scenario. - Annotate the point estimate and both the lower and upper bounds of the confidence interval, adjusting to the nearest whole number. **Graph Description:** - A bell-shaped curve represents the confidence interval. - The middle of the curve is marked "95% C.I.," indicating the range where the true mean is likely to fall. - Areas under the curve outside the marked interval represent the tails or extremities of the considered data distribution. Understanding this statistical analysis will help in determining whether the observed data supports the manufacturer's claim regarding their tire lifespan.
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