which of the following describes the probability distribution below?\nprobability distribution\nthe mean is…

which of the following describes the probability distribution below?\nprobability distribution\nthe mean is greater than the median, and the majority of the data points are to the left of the mean.\nthe mean is greater than the median, and the majority of the data points are to the right of the mean.\nthe median is greater than the mean, and the majority of the data points are to the left of the mean.\nthe median is greater than the mean, and the majority of the data points are to the right of the mean.

which of the following describes the probability distribution below?\nprobability distribution\nthe mean is greater than the median, and the majority of the data points are to the left of the mean.\nthe mean is greater than the median, and the majority of the data points are to the right of the mean.\nthe median is greater than the mean, and the majority of the data points are to the left of the mean.\nthe median is greater than the mean, and the majority of the data points are to the right of the mean.

Answer

Explanation:

Step1: Analyze the skewness of the distribution

The distribution is right - skewed. In a right - skewed distribution, the tail is on the right side.

Step2: Recall the relationship between mean and median in skewed distributions

For a right - skewed distribution, the mean is pulled in the direction of the tail, so the mean is greater than the median. Also, since the tail is on the right, the majority of the data points are to the left of the mean.

Answer:

The mean is greater than the median, and the majority of the data points are to the left of the mean.