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nbs/01-getting_started.ipynb

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{
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"cell_type": "markdown",
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"id": "5b3dcdd6",
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"metadata": {},
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"source": [
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"## Introduction"
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]
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{
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"cell_type": "markdown",
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"id": "2aebebc2",
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"metadata": {},
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"source": [
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"DABEST is a package for **D**ata **A**nalysis with **B**ootstrapped **EST**imation\n",
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"\n",
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"[Estimation statistics](https://en.wikipedia.org/wiki/Estimation_statistics) is a simple framework that avoids the [pitfalls](https://www.nature.com/articles/nmeth.3288) of significance testing. It uses familiar statistical concepts: means, mean differences, and error bars. More importantly, it focuses on the effect size of one’s experiment/intervention, as opposed to a false dichotomy engendered by *P* values."
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{
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"cell_type": "markdown",
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"id": "0fc075f5",
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"metadata": {},
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"source": [
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"An estimation plot has two key features.\n",
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"\n",
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"1. It **presents all datapoints** as a swarmplot, which orders each point to display the underlying distribution.\n",
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"2. It presents the **effect size** as a **bootstrap 95% confidence interval** on a **separate but aligned axes**."
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]
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},
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{
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"cell_type": "markdown",
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"id": "e4c2e459",
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"metadata": {},
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"source": [
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"DABEST powers [estimationstats.com](estimationstats.com), allowing everyone access to high-quality estimation plots."
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]
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},
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"cell_type": "markdown",
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"id": "d1d5cb1a",

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