I. Using the central limit theorem, what is the distribution of sample means when the population distribution is the following?
PART (A)
- rectangular
- (a) positively skewed
- (b) uniformly distributed
- (c) normally distributed
- (d) negatively skewed
- (e) evenly distributed
PART (B)
- normally distributed
- (a) positively skewed
- (b) uniformly distributed
- (c) evenly distributed
- (d) normally distributed
- (e) negatively skewed
PART (C)
- positively skewed
- (a) evenly distributed
- (b) uniformly distributed
- (c) negatively skewed
- (d) normally distributed
- (e) positively skewed
PART (D)
- nonmodal
- (a) negatively skewed
- (b) normally distributed
- (c) evenly distributed
- (d) uniformly distributed
- (e) positively skewed
PART (E)
- multimodal
- (a)negatively skewed
- (b) positively skewed
- (c) uniformly distributed
- (d)evenly distributed
- (e)normally distributed
PART (F)
- negatively skewed
- (a) normally distributed
- (b) positively skewed
- (c) negatively skewed
- (d) evenly distributed
- (e) uniformly distributed
II. Using the skewed distribution rule, what is the distribution of sample variances when the population distribution is the following?
PART (A)
- rectangular
- (a) negatively skewed
- (b)positively skewed
- (c) uniformally distributed
- (d) evenly distributed
- (e)normally distributed
PART (B)
- normally distributed
- (a)normally distributed
- (b)uniformally distributed
- (c)negatively skewed
- (d) evenly distributed
- (e)positively skewed
PART (C)
- positively skewed
- (a) negatively skewed
- (b) evenly distributed
- (c) positively skewed
- (d)uniformally distributed
- (e) normally distributed
PART (D)
- nonmodal
- (a)normally distributed
- (b)negatively skewed
- (c) evenly distributed
- (d) positively skewed
- (e)uniformally distributed
PART (E)
- multimodal
- (a) normally distributed
- (b) uniformally distributed
- (c) evenly distributed
- (d) positively skewed
- (e) negatively skewed
PART (F)
- negatively skewed
- (a) normally distributed
- (b) uniformally distributed
- (c) negatively skewed
- (d) evenly distributed
- (e) positively skewed