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- https://stats.libretexts.org/Courses/Highline_College/Statistics_Using_Technology_(Kozak)/03%3A_Examining_the_Evidence_Using_Graphs_and_Statistics/3.02%3A_Measures_of_SpreadVariability is an important idea in statistics. Variability describes how the data are spread out. If the data are very close to each other, then there is low variability. If the data are very spread ...Variability is an important idea in statistics. Variability describes how the data are spread out. If the data are very close to each other, then there is low variability. If the data are very spread out, then there is high variability. How do you measure variability? It would be good to have a number that measures it. This section will describe some of the different measures of variability, also known as variation.
- https://stats.libretexts.org/Courses/Fullerton_College/Math_100%3A_Liberal_Arts_Math_(Ikeda)/08%3A_Describing_Data/8.06%3A_Box_PlotsIn addition to the mean and median, which are measures of the "typical" or "middle" value, we also need a measure of how "spread out" or varied each data set is. There are several ways to measure thi...In addition to the mean and median, which are measures of the "typical" or "middle" value, we also need a measure of how "spread out" or varied each data set is. There are several ways to measure this "spread" of the data.
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/14%3A_Apppendices/14.01%3A_B__Mathematical_Phrases_Symbols_and_Formulas/14.1.02%3A_FormulasThis page summarizes essential concepts in probability and statistics, covering key rules, distributions, and formulas for calculating probabilities, means, and variances. It delves into hypothesis te...This page summarizes essential concepts in probability and statistics, covering key rules, distributions, and formulas for calculating probabilities, means, and variances. It delves into hypothesis testing and confidence intervals using Z, t, Chi-square, and F tests.
- https://stats.libretexts.org/Bookshelves/Applied_Statistics/Business_Statistics_(OpenStax)/10%3A_Hypothesis_Testing_with_Two_Samples/10.08%3A_Chapter_ReviewThis page discusses methods for comparing two independent population means and proportions, addressing both known and unknown population standard deviations. It introduces Cohen's \(d\) as an effect s...This page discusses methods for comparing two independent population means and proportions, addressing both known and unknown population standard deviations. It introduces Cohen's \(d\) as an effect size measure and highlights the importance of equal variance assumptions. The text specifies distribution characteristics for various statistical tests, such as the Student's \(t\)-distribution and normal distribution based on data conditions.
- https://stats.libretexts.org/Bookshelves/Introductory_Statistics/Statistics_with_Technology_2e_(Kozak)/03%3A_Examining_the_Evidence_Using_Graphs_and_Statistics/3.02%3A_Measures_of_SpreadVariability is an important idea in statistics. Variability describes how the data are spread out. If the data are very close to each other, then there is low variability. If the data are very spread ...Variability is an important idea in statistics. Variability describes how the data are spread out. If the data are very close to each other, then there is low variability. If the data are very spread out, then there is high variability. How do you measure variability? It would be good to have a number that measures it. This section will describe some of the different measures of variability, also known as variation.
- https://stats.libretexts.org/Courses/Fullerton_College/Math_100%3A_Liberal_Arts_Math_(Ikeda)/08%3A_Describing_Data/8.05%3A_Measures_of_Variation_and_LocationIn addition to the mean and median, which are measures of the "typical" or "middle" value, we also need a measure of how "spread out" or varied each data set is. There are several ways to measure thi...In addition to the mean and median, which are measures of the "typical" or "middle" value, we also need a measure of how "spread out" or varied each data set is. There are several ways to measure this "spread" of the data.
