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6.1: What is Variance?

  • Page ID
    50309
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    We use the term mean (central tendency) to describe the general trend of a sample’s performance. By performance, we mean how we predict what is going to happen next. We continually sample, make observations, or recruit more participants; we say that the next time we observe, our best guess about what will happen next, or what the next participant’s or observation score will be, will be the mean.

    But the mean does not give us the full story. Not everyone in a sample has scores at the mean. We need a statistic to describe the spread of observations around the mean in that sample. That statistic is called variance.

    Variance is a fancy statistical technical term that represents variation. Think of variance as a value describing the spread of scores around the mean. By “spread of scores,” we mean a score’s distance from the mean or the location of a particular score away from the mean. The variance values include the following terms: variance, standard deviation, and range.

    Why should you give a rat’s ass about this concept? Eventually, you will learn that variance is an important concept for understanding why we have significant or non-significant results. Variance helps us determine if something is significant or not significant.


    This page titled 6.1: What is Variance? is shared under a CC BY 4.0 license and was authored, remixed, and/or curated by Peter Ji.