Answer:
11.51% probability that it will take less than 450 days to train all the contestants.
Step-by-step explanation:
To solve this question, we need to understand the normal probability distribution and the central limit theorem.
Normal probability distribution
When the distribution is normal, we use the z-score formula.
In a set with mean  and standard deviation
 and standard deviation  , the zscore of a measure X is given by:
, the zscore of a measure X is given by:

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.
Central Limit Theorem
The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean  and standard deviation
 and standard deviation  , the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean
, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean  and standard deviation
 and standard deviation  .
.
For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.
For the sum of n variables, the mean is  and the standard deviation is
 and the standard deviation is 
In this question:

Approximate the probability that it will take less than 450 days to train all the contestants.
This is the pvalue of Z when X = 450.

By the Central Limit Theorem



 has a pvalue of 0.1151
 has a pvalue of 0.1151
11.51% probability that it will take less than 450 days to train all the contestants.