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

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.

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.

this shows a reflection over the x-axis and is translated one unit down and 6 units to the right (x + 6, y - 1)

hope this !

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c.

step-by-step explanation:

because first you have to add the 4x, 9x, and the 7x together and you get 20x and then you add the last numbers up and you get 5and then you put the subtraction sign in there and that's how you get the answer.