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    Skew
    /skyo͞o/

    adjective

    • 1. neither parallel nor at right angles to a specified or implied line; askew; crooked: "his hat looked slightly skew"
    • 2. (of a pair of lines) neither parallel nor intersecting.

    noun

    • 1. an oblique angle; a slant.

    verb

    • 1. suddenly change direction or position: "the car had skewed across the track"
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  3. Learn the meaning of skew as a verb, adjective, and noun, with examples of usage and word history. Skew can mean to take an oblique course, to distort from a true value or symmetrical form, or to be slanting or not symmetrical.

  4. Skew definition: to give an oblique direction to; shape, form, or cut obliquely. See examples of SKEW used in a sentence.

  5. Skew can be a verb meaning to cause something to be not straight or exact, or an adjective meaning not straight. Learn how to use skew in different contexts, such as statistics, business, and language, with examples and synonyms.

    • What Is Zero Skew?
    • What Is Right Skew (Positive Skew)?
    • What Is Left Skew (Negative Skew)?
    • How to Calculate Skewness
    • What to Do If Your Data Is Skewed
    • Other Interesting Articles
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    When a distribution has zero skew, it is symmetrical. Its left and right sides are mirror images. Normal distributions have zero skew, but they’re not the only distributions with zero skew. Any symmetrical distribution, such as a uniform distribution or some bimodal (two-peak) distributions, will also have zero skew. The easiest way to check if a v...

    A right-skewed distribution is longer on the right side of its peak than on its left. Right skew is also referred to as positive skew. You can think of skewness in terms of tails. A tail is a long, tapering end of a distribution. It indicates that there are observations at one of the extreme ends of the distribution, but that they’re relatively inf...

    A left-skewed distribution is longer on the left side of its peak than on its right. In other words, a left-skewed distribution has a long tail on its left side. Left skew is also referred to as negative skew. Test scores often follow a left-skewed distribution, with most students performing relatively well and a few students performing far below a...

    There are several formulas to measure skewness. One of the simplest is Pearson’s median skewness. It takes advantage of the fact that the mean and median are unequal in a skewed distribution. Pearson’s median skewness tells you how many standard deviationsseparate the mean and median. Real observations rarely have a Pearson’s median skewness of exa...

    One reason you might check if a distribution is skewed is to verify whether your data is appropriate for a certain statistical procedure. Many statistical procedures assume that variables or residuals are normally distributed. Skew is a common way that a distribution can differ from a normal distribution. You generally have three choices if your st...

    If you want to know more about statistics, methodology, or research bias, make sure to check out some of our other articles with explanations and examples.

    Skewness is a measure of the asymmetry of a distribution. Learn how to calculate skewness, what it means for normal distributions, and how to deal with skewed data.

  6. Skew can be a verb meaning to cause something to be not straight or exact, or an adjective meaning not straight. Learn how to use skew in different contexts, such as statistics, business, and language, with examples and translations.

  7. skew: 1 v turn or place at an angle “the lines on the sheet of paper are skewed ” Antonyms: adjust , align , aline , line up place in a line or arrange so as to be parallel or straight Type of: reorient set or arrange in a new or different determinate position adj having an oblique or slanting direction or position “the picture was skew ” ...

  8. 1 day ago · Learn the meaning of skew as a verb, adjective, noun, and adverb, with examples and synonyms. Find out how skew can describe something that is oblique, distorted, biased, or slanted in different contexts.

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