Answer:
Approximately normal for large sample sizes
Step-by-step explanation:
The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean 
and standard deviation 
, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean and standard deviation 
.
For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.
In this question:
The distribution is unknown, so the sampling distribution will only be approximately normal when n is at least 30.
So the correct answer should be:
Approximately normal for large sample sizes
If you use fractions, the answer you get will always be an exact answer in the form of a fraction. resorting to decimals means that you may run into rounding errors and therefore get only an approximate answer. e.g. the fraction 1/3 cannot be exactly represented by a decimal.fractions can be easier to represent the number rather then using decimals which involve writing out many numbers it does not affect the accuracy of the answer UNLESS you are rounding up and down the numbers
Step-by-step explanation:
What do you think would happen to the median if we included students
from grades 10-12
