Exam DP-100 topic 5 question 18 discussion

Graph 1 is negative skew and Graph 2 is positive skew. A left-skewed distribution has a long left tail. Left-skewed distributions are also called negatively-skewed distributions. That’s because there is a long tail in the negative direction on the number line. The mean is also to the left of the peak. A right-skewed distribution has a long right tail. Right-skewed distributions are also called positive-skew distributions. That’s because there is a long tail in the positive direction on the number line. The mean is also to the right of the peak. https://www.statisticshowto.com/probability-and-statistics/skewed-distribution/

Graph 1 is negative skew.

given answer is correct

https://en.wikipedia.org/wiki/Skewness

Graph 1 = Negatively skewed or Left-tailed Graph 2 = Positively skewed or right-tailed. https://corporatefinanceinstitute.com/resources/data-science/negatively-skewed-distribution/

G1: Negative, G2: Positive

The microsoft reference (https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/compute-elementary-statistics) is technically correct. "Negative skew values means the distribution is skewed to the left. 0 denotes the normal distribution. Positive skewness values mean the distribution is skewed to the right." This is validated by Wiki (https://en.wikipedia.org/wiki/Skewness#positive_skew): negative skew: The left tail is longer; the mass of the distribution is concentrated on the right of the figure. The distribution is said to be left-skewed, left-tailed, or skewed to the left,... positive skew: The right tail is longer; the mass of the distribution is concentrated on the left of the figure. The distribution is said to be right-skewed, right-tailed, or skewed to the right,... Ergo, the answers are interchanged. G1: should be negative skew and G2: positive. See the figure from the wiki link or the link provided by VickyM. At times like this, I am starting to doubt the competence of the answers provided.

The answer is quite opposite. The first one is negative and the second one is positive https://en.wikipedia.org/wiki/Skewness

Wrong answer

Reverse: https://en.wikipedia.org/wiki/

Graph 1 = negative Graph 2 = positive

Graph 1 is negative skewed…Tail is negative graph 2 is positive skewed.

G1: Negative G2: Positive. As line is extending farther away from 0 on +ve line

Graph 1 is indeed negative skew https://en.wikipedia.org/wiki/Skewness

The mentioned answer is wrong. The correct answer is graph-1--> negatively skewed Graph-2-> positively skewed reference: https://www.statisticshowto.com/probability-and-statistics/skewed-distribution/

I agree, I think Graph 1 is negatively skewed and Graph 2 is positively skewed.

isn't Graph 1 positive skew?