Answer:
4500x20
Step-by-step explanation:
It will give you your answer
Answer:
The distribution of the sample data will approach a normal distribution as the sample size increases.
Step-by-step explanation:
Central limit theorem states that the mean of all samples from the same population will be almost equal to the mean of the population, if the large sample size from a population, is given with a finite level of variance.
So, here Option C is not correct conclusion of central limit theorem -The distribution of the sample data will approach a normal distribution as the sample size increases.
We can say that the average of sample mean tends to be normal but not the sample data.
Answer:
I'm a girl too but you seem pretty cool lol I'm sure someone will be interested :D And I wish you the best of luck
Step-by-step explanation:
