Step 1 :The question is asking for the correct interpretation of the confidence interval. This is a theoretical question and does not require any calculations or Python code to solve.
Step 2 :A confidence interval is a range of values, derived from a data set, that is likely to contain the value of an unknown population parameter. In this case, the confidence interval is (13.046, 22.15) and the confidence level is 95%.
Step 3 :Option A is incorrect because a confidence interval does not contain a certain percentage of the data points from a sample. It is a range of values that is likely to contain the value of an unknown population parameter.
Step 4 :Option B is correct. A 95% confidence interval means that we are 95% confident that the true population mean lies within the interval (13.046, 22.15).
Step 5 :Option C is incorrect because a confidence interval does not guarantee that it contains the true population mean. It only provides a range of values that is likely to contain the true population mean with a certain level of confidence.
Step 6 :Option D is incorrect because a confidence interval is not about containing the sample mean. The sample mean is a known value calculated from the sample data. The confidence interval is about estimating the unknown population mean.
Step 7 :\boxed{\text{B. We have 95% confidence that the limits of 13.05 Mbps and 22.15 Mbps contain the true value of the mean of the population of all data speeds at the airports.}}