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Yes that is the correct answer
Answer:
B. distribution skewed to the right, mean pulled to the right, median not effected
Step-by-step explanation:
When a distribution is skewed to the right, it means that the data is positively skewed or has more positive numbers than negative numbers.
An outlier can affect the mean of a distribution since a high value outlier will make the mean be much higher than the median. In this case, since the distribution is positively skewed, a high outlier will pull the mean to the right (to higher positive values).
