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.

answer: option a.

step-by-step explanation:

you know that the quadrilateral opqr ( a four sided figure) is inscribed in circle. this means that all its vertices are on the circle.

then, by definition, the opposite angles of the quadrilateral are supplementary, this means that the sum of their measures is 180 degrees.

you can observe in the figure that the angles ∠opq   and the angle ∠orq   are opposite, therefore:

then, can be used to d to calculate the measure of ∠opq

step-by-step explanation: i dont