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As the sample size becomes larger, the sampling distribution of the sample mean approaches

a. binomial distribution

b. Poisson distribution

c. normal distribution

d. chi-square distribution

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Nestor Rutherford
Nestor RutherfordLv2
20 Feb 2020
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Related textbook solutions

Introductory Statistics
OER Edition, 2013
Openstax
ISBN: 9781938168208

Related questions

As the size of the sample increases, what happens to the shape of the sampling distribution of sample means?

A. It becomes negatively skewed.

B. It becomes uniformly distributed.

C. It becomes positively skewed.

D. It becomes approximately normal.

Which of the following is not a conclusion of the central limit​ theorem?

A) The distribution of the sample means ​will, as the sample size​ increases, approach a normal distribution.

B) The distribution of the sample data will approach a normal distribution as the sample size increases.

C) The standard deviation of all sample means is the population standard deviation divided by the square root of the sample size.

D) The mean of all sample means is the population mean μ.

Which of the following is NOT a property of the chi-square distribution?

A. The chi-square distribution is not symmetric.
B. The chi-square distribution is different for each number of degrees of freedom.
C. The mean of the chi-square distribution is 0.
D. The values of chi-square can be zero or positive, but they cannot be negative.

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