Question

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

Answer 1

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

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 =
`(\sigma)/(√(n))`