1 1.5 points Which of the following does the Central Limit Theorem guarantee? A sampling distribution is always normal regardless of the shape of the distribution of the population from which the samples came. O If a sample size (n) is large, then the population from which it came is normally distributed. If a sample size (n) is large then the sampling distribution of all samples of size n is normally distributed. 2 15 points As the sample size decreases, the width of the interval ... cannot be determined remains the same O decreases O increases 3 15 points increasing the level of confidence has what effect on the width of the confidence interval? O decreases the width O cannot be determined Increases the width has no effect on the width 4 15 points A sampling distribution for & would be obtained by finding - the means of lots of samples of the same size from different populations the means of lots of samples of varying sizes from the same population O the means of lots of samples of the same size from the same population O the mean of a single sample 5 1.5 points In which of the following can you NOT assume the sampling distribution is normal? x distribution, population distribution unknown, n = 10 * distribution, population distribution non-normal, n = 80 P distribution, population binomial, n = 20, p =.55 O * distribution, population distribution normal, n = 12 6 1.5 points Suppose that in a given hypothesis test Ho is NOT rejected. Which of the following is a true statement? a Type | error has definitely been committed both a Type I error and a Type II error are possible a Type II error has definitely been committed It is possible that a Type I error has been committed It is possible that a Type II error has been committed