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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. Normal distribution problem: z-scores (from ck12.org)

    Well anyway, hopefully this at least clarified how to solve for z-scores, which is pretty straightforward mathematically. And in the next video, we'll interpret z-scores and probabilities a little bit more.

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

    Once we figure out what z value to use from the first column, how to know what p value to take from that row.

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

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

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

    I encourage you to pause this video and now try to figure out the Z-scores for these other data points. Now, an obvious question that some of you might be asking is why, why do we care how many …

  6. Khan Academy

    Learn how to find z-scores for percentiles using normal distributions with this Khan Academy tutorial.

  7. Z-scores-problem (article) | Z-scores | Khan Academy

    A Grande Mocha Cappuccino at Jake's Java contains 14 g of sugar. Calculate the standardized score (z-score) for the Grande Mocha Cappuccino.

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

    We'll measure the position of data within a distribution using percentiles and z-scores, we'll learn what happens when we transform data, we'll study how to model distributions with density curves, and …

  9. More empirical rule and z-score practice (from ck12.org)

    How can we use info like z-scores and averages to calculate the probability of success or failure?

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

    The 97% probability is used to find the z-score that corresponds to the desired confidence level, which is 94%. The reasoning behind looking for 97% instead of 94% is to ensure symmetry in the confidence …