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Step-by-step guide to calculating standard deviation for population data.
Introduction to standard deviation. Standard deviation measures the spread of a data distribution. The more spread out a data distribution is, the greater its standard deviation. For example, the blue distribution on bottom has a greater standard deviation (SD) than the green distribution on top: Interestingly, standard deviation cannot be ...
Review of population and sample standard deviation, including the formula and interpretation.
The idea of spread and standard deviation. Calculating standard deviation step by step. Standard deviation of a population. Mean and standard deviation versus median and IQR. Concept check: Standard deviation. Statistics: Alternate variance formulas.
Learn about range, variance, and standard deviation as measures of dispersion in statistics.
Introduction to the normal distribution, covering its properties and applications.
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 means that the data is more dispersed. Created by Sal Khan.
Basic normal calculations. Math>. AP®︎/College Statistics>. Exploring one-variable quantitative data: Percentiles, z-scores, and the normal distribution>. Normal distributions and the empirical rule.
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Lesson 1: Measuring center in quantitative data. Statistics intro: Mean, median, & mode. Mean, median, & mode example. Mean, median, and mode. Calculating the mean. Calculating the mean. Calculating the median. Choosing the "best" measure of center.