Sentence examples for skewed in the direction of from inspiring English sources
As expected for a sample primarily composed of healthy respondents, response distributions tended to be skewed in the direction of positive health (relatively high median and negative skewness).
The Republican Party has become increasingly dependent upon corporate funding and support, which is heavily skewed in the direction of climate denial.
Add Louisa Krause's colorless performance as Laura, and the play's dramatic tension becomes unbalanced, skewed in the direction of mother and son.
The wake is skewed in the direction of the rotor rotation causing an imbalance in the displacement thickness mirrored about the centerline.
Hollywood's squabble over which of two technologies will replace standard DVDs skewed in the direction of the Sony Corporation on Friday, with Warner Brothers casting the deciding vote in favor of the company's Blu-ray discs over the rival format, HD DVD.
Sometimes, I think, we use the term "darkness" in a pejorative sense, to indicate that the fictive world has been (unfairly, or out of sloth, or cynicism, or bad craft) skewed in the direction of having more negative event than "real life" does.
This polished, useful iPhone app is technically pet-agnostic, but the information skews heavily in the direction of dogs.
I can't, considering that J. C. Penney is not some boutique retailer whose stores are concentrated in big cities and whose clientele skews in the direction of urban sophisticates.
The popularity of the composers, nevertheless, are clearly skewed in the opposite direction: The total degree of the oldboys has increased from 2,553 in 1990 to 89,720 (an increase of 87,167) while only 44,539 links have been created for the newbies, for mean degrees of (overline{q}_{mathrm{OB}}=101.72) and (overline{q}_{mathrm{NB}}=3.40).
Similarly, the mean acreage planted to chile pepper is skewed in the same direction, with a mean of 5 ha, with a minimum of 0.5 ha, a maximum of 40 ha, a standard deviation of 6 ha, and a median of 2 ha.
The distribution of M values (liver to kidney) is skewed in the negative direction, therefore the library size normalization is not fit to the real data.
