Final answer:
To find a 99% confidence interval for the mean temperature, we calculate the sample mean and standard deviation, then use these values along with the t-score for the corresponding confidence level and degrees of freedom to calculate the range.
Step-by-step explanation:
To estimate the mean temperature with a 99% confidence interval, we need to first calculate the sample mean (μ) and the sample standard deviation (s) of the given temperatures. Once we have these statistics, we can use the t-distribution as we do not know the population standard deviation and the sample size is small. The formula for the confidence interval is given by:
μ ± t*(s/√n)
where μ is the sample mean, t is the t-score from the t-distribution table corresponding to a 99% confidence level and degrees of freedom (df = n-1), s is the sample standard deviation, and n is the sample size.
Let's calculate the sample mean (average) and standard deviation using the sample temperatures:
- Average (μ) = (Sum of all temperatures) / (Number of temperatures)
- Standard Deviation (s) = √((Σ(xi - μ)²) / (n-1))
Next, we will find the t-score for a 99% confidence level with df = n - 1 degrees of freedom. With the t-score, mean, standard deviation, and sample size values, we can calculate the 99% confidence interval for the mean temperature.