What does the clt say? asked what the central limit theorem says, a student replies, "as you take larger and larger samples from a population, the spread of the sampling distribution of the sample mean decreases." is the student right? explain your answer.

No, the student is not right as his statement is against central limit theorem.

Step-by-step explanation:

Central Limit Theorem:

This theorem states that if we take large samples of a population which has a mean and standard deviation then mean samples will have a normal distribution.

the statemwnt is the company makes small and large snow cone cups.

large=it holds more then the small

small=it holds less then the large

i cant see the graph

step-by-step explanation: