It is known that the amount of time needed to change the oil in a car is normally distributed. A random sample of 100 oil changes yielded a sample mean of 22 minutes and a standard deviation of 5 minutes. Then compared to the interval estimate for the previous question. This 99% confidence interval estimate of the mean of the population would be -

identical
much more precise
a bit more precise
a bit less precise
much less precise

Check your data from the previous question to help you answer this one.

To answer this question, we need to refer to the data from the previous question. We calculated a confidence interval for the mean of the population based on a random sample of 100 oil changes, which had a sample mean of 22 minutes and a standard deviation of 5 minutes.

The confidence level for the previous question was not stated explicitly, but for the purpose of this answer, let's assume it was 95%.

To calculate a 99% confidence interval for the mean of the population, the margin of error would be larger than the margin of error for a 95% confidence interval. In other words, the interval estimate for a 99% confidence level would have to be wider because it needs to capture a higher proportion of the population.

Therefore, the correct answer is: a bit more precise.

The interval estimate for a 99% confidence interval would be wider, but it would provide a more precise estimate compared to a 95% confidence interval because of the increased level of confidence.