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  1. 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.

  2. Population and sample standard deviation review

    The formula we use for standard deviation depends on whether the data is being considered a population of its own, or the data is a sample representing a larger population.

  3. Calculating standard deviation step by step - Khan Academy

    The standard deviation formula may look confusing, but it will make sense after we break it down. In the coming sections, we'll walk through a step-by-step interactive example.

  4. Population standard deviation (video) | Khan Academy

    It's a way of quantifying how spread out the data is from its mean. A small standard deviation means that the data points are generally close to the mean, while a large standard deviation …

  5. Sample and population standard deviation - Khan Academy

    What is the average age of the bears at your zoo? What is the standard deviation? Round your answers to the nearest tenth.

  6. Calculating standard deviation step by step - Khan Academy

    The standard deviation formula may look confusing, but it will make sense after we break it down. In the coming sections, we'll walk through a step-by-step interactive example.

  7. Variance (practice) | Khan Academy

    Practice calculating both sample and population variances.

  8. Mean and standard deviation of sample proportions (practice

    Practice calculating the mean and standard deviation for the sampling distribution of a sample proportion.

  9. Statistics: Alternate variance formulas (video) | Khan Academy

    You use it when you're finding the variance and only with a sample (vs. working with the universe, or all of the values.) The explanation is a little tricky to write, but if you're interested in knowing …

  10. Review and intuition why we divide by n-1 for the unbiased …

    Reviewing the population mean, sample mean, population variance, sample variance and building an intuition for why we divide by n-1 for the unbiased sample variance. Created by Sal Khan.