I using the central limit theorem what is the distribution


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

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Basic Statistics: I using the central limit theorem what is the distribution
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