1. What of the following best describes the main concept behind the central limit theorem? a. As sample size increases, continuous data will assume the shape of the binomial distribution b. As sample size increases, continuous data will assume the shape of the normal distribution c. The Poisson and the Binomial distributions are the same at large sample sizes d. The Normal distribution at large sample sizes approximates the Lognormal distribution

2. If the distribution of the population is not severely non-normal, at what minimum sample size will the central limit theorem apply? a. 30 b. 60 c. 90 d. 100

3. What are two fundamental point estimates that are commonly used in statistics? a. Sample variance & regressor b. Sample mean & sample variance c. Sample mean & correlate d. Sample mean & regressor

4. The sample mean is the minimum variance unbiased estimator for which of the following? a. b. c. d.

5. The sample standard deviation, s, is the point estimator for which of the following? a. b. c. d.