statistics

Python入门：Python3 statistics模块全面学习教程Python入门：Python3 statistics模块全面学习教程，该模块属标准库无需额外安装，是初学者与数据分析师进行基础统计分析的实用工具。文章先介绍模块定位与基础操作（导入模块、用 dir () 查看功能），再结合代码实例与结果解释，详细讲解核心统计函数 —— 涵盖均值（mean）、中位数（median）、众数（mode）等集中趋势指标，方差（variance）、标准差（stdev）等离散程度指标，以及调和平均数（harmonic_mean）、几何平均数（geometric_mean），还有中位

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Basic statistics - 12. One-way ANOVA BasicsOne way refers that it involves only one factor, for example a two-way ANOVA involves two factors.

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Basic statistics - 10. The unpaired t-test | Independent samples t-testOne-sample t-test : Basic statistics - 07. The one-sample t-test and p-values

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Basic statistics -11. The paired t-test | explained with a sample exampleLet’s say that we have collected eight individuals and would like to test new drug which is supposed to reduce the systolic blood pressure to test if the drug has an effect.

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Basic statistics - 07. The degrees of freedom - explained with a simple exampleIf we would estimate the population standard deviation with the following formula the degrees of freedom is then equal to the total sample size -1. Because we first need to estimate the population mean value before we calculate the standard deviation.

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Basic statistics - 05. Confidence intervalsWe have learned standard of mean in last notes, so how can we use it? we can use it to calculate a confidence interval.

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Basic statistics - 02. The Normal distributionexamples： the heights of the populations sigma represents the standard deviation for the normal distribution curve, the area below the curve is always one. For example: we can use the area to get the rough estimation of individuals taht are between 190 an

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