What does a larger number indicate in the skew function?

In the context of the skew function, a larger number does indeed indicate that the data set is asymmetrical. Skewness measures the degree to which a distribution leans to one side or the other of the average (mean). When the skewness value is positive, it signifies that the tail on the right side is longer or fatter than the left side, indicating a rightward asymmetry. Conversely, a negative skewness would point to a left tail that is longer or fatter than the right, indicating leftward asymmetry.

A larger skewness value, therefore, directly implies a more pronounced asymmetry in the data distribution, which is vital for understanding the nature of the data and for making informed decisions based on it.

The other options refer to characteristics that don't directly relate to the concept of skewness: a symmetrical data set would have a skewness of zero, an accurate mean would pertain to the central tendency without considering the shape of the distribution, and a lack of errors in forecasts does not necessarily correlate with the skew value. Thus, they do not address what a larger number indicates in skewness.