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  1. How to calculate Z-scores (formula review) (article) | Khan Academy

    What are z-scores? A z-score measures exactly how many standard deviations above or below the mean a data point is.

  2. Z-score introduction (video) | Z-scores | Khan Academy

    A z-score is an example of a standardized score. A z-score measures how many standard deviations a data point is from the mean in a distribution.

  3. How to calculate Z-scores (formula review) (article) | Khan Academy

    Welcome to Khan Academy! So we can give you the right tools, let us know if you're a...

  4. Calculating z-scores (practice) | Z-scores | Khan Academy

    Find the z-score of a particular measurement given the mean and standard deviation.

  5. Finding z-score for a percentile (video) | Khan Academy

    In any normal distribution, we can find the z-score that corresponds to some percentile rank. If we're given a particular normal distribution with some mean and standard deviation, we can use that z …

  6. Modeling data distributions | Statistics and probability | Khan Academy

    Qualitative sense of normal distributions Normal distribution problems: Empirical rule Standard normal distribution and the empirical rule (from ck12.org) More empirical rule and z-score practice (from …

  7. Critical value (z*) for a given confidence level - Khan Academy

    The 3% on each side of the distribution ensures that the confidence interval is centered around the mean. After calculating the z-score for 97% probability, you would indeed subtract 3% from each tail …

  8. Khan Academy | Khan Academy

    Oops. Something went wrong. Please try again. Uh oh, it looks like we ran into an error. You need to refresh. If this problem persists, tell us.

  9. Calculating a P-value given a z statistic (video) | Khan Academy

    In a significance test about a population proportion, we first calculate a test statistic based on our sample results. We then calculate a p-value based on that test statistic using a normal distribution.

  10. Calculating a z statistic in a test about a proportion

    Why do we calculate the probability of getting our result OR HIGHER? I know this varies depending on whether you want to test if a population value is greater or smaller or just different than expected. But …