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  2. Topic
    Statistics
  3. Study Set
    Understanding Statistics in the Behavioral Sciences
  4. Exam
    Exam 12: Sampling Distributions, Sampling Distribution of the Mean: the Normal Deviate Z Test
  5. Question
    Which of the Following Apply to the Sampling Distribution of the Mean
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Which of the Following Apply to the Sampling Distribution of the Mean

Question 54

Question 54

Multiple Choice

Which of the following apply to the sampling distribution of the mean?


A) Which of the following apply to the sampling distribution of the mean? A)    = µ B)    =   C)  the variability of the distribution depends on N D)  the shape of the distribution is always normal E)    = ,   =   and the variability of the distribution depends on N = µ
B) Which of the following apply to the sampling distribution of the mean? A)    = µ B)    =   C)  the variability of the distribution depends on N D)  the shape of the distribution is always normal E)    = ,   =   and the variability of the distribution depends on N = Which of the following apply to the sampling distribution of the mean? A)    = µ B)    =   C)  the variability of the distribution depends on N D)  the shape of the distribution is always normal E)    = ,   =   and the variability of the distribution depends on N
C) the variability of the distribution depends on N
D) the shape of the distribution is always normal
E) Which of the following apply to the sampling distribution of the mean? A)    = µ B)    =   C)  the variability of the distribution depends on N D)  the shape of the distribution is always normal E)    = ,   =   and the variability of the distribution depends on N = , Which of the following apply to the sampling distribution of the mean? A)    = µ B)    =   C)  the variability of the distribution depends on N D)  the shape of the distribution is always normal E)    = ,   =   and the variability of the distribution depends on N = Which of the following apply to the sampling distribution of the mean? A)    = µ B)    =   C)  the variability of the distribution depends on N D)  the shape of the distribution is always normal E)    = ,   =   and the variability of the distribution depends on N and the variability of the distribution depends on N

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