ANSWER

Step-by-step explanation
We want to find the probability that the average of all participants in the study was fewer than 10,200 breaths each night.
To do this, first, we have to find the z-score corresponding to the sample mean:

where x = sample mean
μ = population mean
σ = standard deviation
n = sample size
Therefore, the z-score is:

Now, using the standard normal table, we can find P(z < 1.01).
Therefore, the probabilityis:

That is the answer.