When Carson runs the 400 meter dash, his finishing times are normally distributed with a mean of 65 seconds and a standard deviation of 2.5 seconds. Using the empirical rule, determine the interval of times that represents the middle 95% of his finishing times in the 400 meter race.

In the normal distribution, the empirical rule states approximately 68% of all the data lie within 1 standard deviation from the mean, approximately 95% of all the data lie within 2 standard deviations from the mean and approximately 99.7% of all the data lie within 3 standard deviations from the mean.

The confidence interval for 95% confidence limit is given by

[tex]CI = \mu \pm 2\sigma[/tex]

Since approximately 95% of all the data lie within 2 standard deviations from the mean. μ is the mean time Carson takes to finish 400 meter dash and σ is the standard deviation.

[tex]CI = 65 \pm 2(2.5)[/tex]

[tex]CI = 65 \pm 5[/tex]

[tex]CI = 65 - 5 \: to \: 65 + 5[/tex]

[tex]CI = 60 \: to \: 70 \: seconds[/tex]

Therefore, the 95% confidence interval is between 60 to 70 seconds

What does it mean?

It means that we are 95% confident that the Carson's mean to finish 400 meter dash is within the interval of (60, 70).