According to the central limit theorem, if the sample size is larger than 50, the sampling distribution of the mean is ______.
a. bimodally distributed
b. approximately
c. normal
d. positively skewed
e. negatively skewed

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Akinny

Answer:

c. normal

Step-by-step explanation:

According to the Central Limit Theorem, the larger the sample, the closer the sampling distribution of the means becomes normal.

Answer:

The correct option is c.

The sampling distribution of the mean is normal

Step-by-step explanation:

According to the central limit theorem which state that given a large sample size(I.e n> or equal to 30) with mean and standard deviation , the sampling distribution of the mean is normal.

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