This preview shows pages 1–2. Sign up to view the full content.
This preview has intentionally blurred sections. Sign up to view the full version.
View Full Document
Unformatted text preview: True/False 1. A sample size of 900 is large enough to conclude that the sampling distribution of p is a normal distribution, when the estimate of the population proportion is . 995. 2. The mean of the sampling distribution of is always equal to the mean of the sampled population. 3. For any sampled population, the population of all sample means is not always normally distributed. 4. The standard deviation of all possible sample proportions increases as the sample size increases. 5. Assuming the same significance level , as the sample size increases, the value of t /2 becomes larger and larger than the corresponding value of z /2 . 6. First a confidence interval is constructed without using the finite population correction factor. Then, for the same identical data, a confidence interval is constructed using the finite population correction factor. The width of the interval with the finite population correction factor is wider than the confidence interval without the finite population correction factor. 7. When the level of confidence and sample standard deviation remain the same, a confidence interval for a population mean based on a sample of n=100 will be wider than a confidence interval for a population mean based on a sample of n=50. 8 . When the level of confidence and the sample size remain the same, a confidence interval for a population mean will be wider, when the sample standard deviation s is larger than when s is small....
View Full
Document
 Spring '11
 Unknown
 Normal Distribution

Click to edit the document details