The <em><u>correct answer</u></em> is:
False.
Explanation:
We cannot be sure that all samples from a normal distribution will also be normally distributed.
The Central Limit Theorem states that the sampling distribution of the sample means approaches a normal distribution as the sample size gets larger, especially for sample sizes over 30. Basically as you take more samples from a given distribution, especially large samples, the graph of the sample means will look more like a normal distribution.
However, this does not state that all samples of a normal distribution will also be normal.
The answer is to your question is No.
not sure if this is correct but 1. A ( reasoning: "Hint: Mitch has to do the opposite of subtract 43 to both sides." which means he had to add. 2. She can get no more than 4
