Question

g explain the central limit theorem. Describe an experiment that could be used to verify the central limit theorem.

Answer 1

Answer:

Throughout the clarification segment elsewhere here, the definition of it's concern is mentioned.

Step-by-step explanation:

Central theorem:

• Once we take repeated samples from some kind of particular group, the central limit theorem shows us precisely whatever the form including its distribution implies.  
• Accurately, the distributions of means determined via repeated measurements can reach normality as when the small samples get bigger.

Statement:

If x would be any distribution of random sample 30 more wide with either a mean = $\mu$

standard deviation = $\sigma$

After which $\bar{x}}$ would have had a roughly normal distribution which

mean = $\mu$ and

default variance = $\frac{\sigma}{\sqrt{n}}$