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Which two of the following statements are true?  a) Skewness studies the flatness or peakedness of the distribution  b) A positively skewed distribution curve is stretched more to the right than to the left  c) On the basis of empirical relationship between mean, mode and median for moderately asymmetrical distribution, Karl Pearson's coefficient of skewness can be measured by 3 (Mean -Median) divided by Standard Deviation  d) If mean < mode, the distribution is positively skewed  Choose the correct option from those below: 
Skewness of Normal distribution is . . . . . . . .
The skewness of a distribution is indicated by
The second and fourth moment about mean for a distribution are 4 and 18 respectively. What is the value of Pearson's coefficient of skewness βz ?
What does the term "skewness" refer to in the context of data distribution analysis in EDA?
Which EDA technique is used to visualize the distribution of a single continuous variable and detect skewness?
When coefficient of skewness is zero the distribution is
When coefficient of skewness is zero, the distribution is
Many studies have demonstrated that the distribution of similarity scores assumes a peculiar shape that resembles a highly skewed normal distribution with a long tail on one side. The distribution matches the _______
Statement I Both the probable error and standard error of the coefficient of correlation are different.
Statement II When a sampling distribution of mean is prepared by taking small sized samples from a normally distributed population, the distribution takes the shape of normal distribution.