True or False?
1. σM equals the standard deviation divided by the square root of the sample size
2. Larger samples more accurately reflect the population than smaller samples
3. If n = 1, the standard error will equal the standard deviation of the population
4. If a population is skewed, the distribution of sample means will never be normal
5. The mean for the distribution of samples means is equal to the mean of the population
6. As the sample size increases, the value of M decreases
7. The mean is a biased statistic
8. As sample size increases, the standard error increases
9. The distribution of sample means is normal if n is at least 30
10. If the samples are selected from a normal population, the distribution of sample means will also be normal.
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