Which of the following statements about the Central Limit Theorem (CLT) is correct? 1. The CLT states that the sample mean is always equal to the population mean. 2. The CLT states that the sampling distribution of the sample mean is approximately normal for large sample sizes (n > 30). 3. The CLT states that the sample mean is equal to the population mean, provided that n > 30. 4. The CLT states that the sampling distribution of the population mean is approximately normal, provided that n > 30. In a distribution plot, if the mean is equal to the median, is the possible shape of the distribution skewed to the right, skewed to the left, or symmetric? If batteries have lives that are normally distribute with mean 2, 800 hours and standard deviation 400 hours, using the 68-95-99.7 rule to approximate the percentage of batteries having a life less than 3, 600 hours.

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Which of the following statements about the Central Limit Theorem (CLT) is correct?
1. The CLT states that the sample mean is always equal to the population mean.
2. The CLT states that the sampling distribution of the sample mean is approximately normal for large sample sizes (n > 30).
3. The CLT states that the sample mean is equal to the population mean, provided that n > 30.
4. The CLT states that the sampling distribution of the population mean is approximately normal, provided that n > 30.

In a distribution plot, if the mean is equal to the median, is the possible shape of the distribution skewed to the right, skewed to the left, or symmetric?


If batteries have lives that are normally distribute with mean 2, 800 hours and standard deviation 400 hours, using the 68-95-99.7 rule to approximate the percentage of batteries having a life less than 3, 600 hours.

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