Skewed Distributions: Corrected (5.07 & 5.08)

What was corrected below

Figure 5.07 (positive skew): the Mode marker was drawn out on the tail instead of at the peak of the curve. The mode is, by definition, the peak. It has been moved back there, with Mean and Median repositioned to match.
Figure 5.08's caption text read "…but with a positively skewed data set, Mode > Median > Mean" while describing Figure 5.08, which is the negatively skewed figure. Corrected below.
Both intro paragraphs described data as "concentrated towards" the side the tail points to. It's the opposite: the bulk of the data sits on the side of the peak, and the tail is the sparse side. Wording corrected below.

Positively skewed distribution

With positively skewed data, most values cluster towards the lower end, and a small number of unusually high values stretch a long tail out to the right. The mode always sits at the peak. Here, that's on the left. Moving away from the peak into the tail, the mean gets pulled furthest of the three: Mode < Median < Mean.

Figure 5.07 (corrected). A positively skewed distribution: mode at the peak, mean pulled into the right-hand tail.

Negatively skewed distribution

With negatively skewed data, most values cluster towards the higher end, and a small number of unusually low values stretch a long tail out to the left. The mode again sits at the peak, here on the right. The mean is pulled furthest towards the tail on the low side: Mean < Median < Mode.

Figure 5.08 (corrected). A negatively skewed distribution: mode at the peak, mean pulled into the left-hand tail.

Quick reference
Skew	Long tail points	Bulk of data (peak)	Order (low to high)
Positive (right)	Right	Left	Mode < Median < Mean
Negative (left)	Left	Right	Mean < Median < Mode
None (symmetric)	None	Centre	Mean = Median = Mode