update

README.md

@@ -76,8 +76,11 @@ If you have any questions, please use the anonymous etherpad (see email) or open
   * [Processing folders](http://nbviewer.jupyter.org/github/BiAPoL/Bio-image_Analysis_with_Python/blob/main/image_processing/12_process_folders.ipynb)
   * [Homework: automatic cell count](https://github.com/BiAPoL/Bio-image_Analysis_with_Python/blob/main/gpu_acceleration/homework_automatic_cellcount.pdf)
 * Block 7 - Introduction to Biostatistics
+  * [Introduction to Biostatistics](https://github.com/BiAPoL/Bio-image_Analysis_with_Python/blob/main/biostatistics/Stats1_without_pictures.pdf)
   * [Confidence intervals of a proportion](https://github.com/BiAPoL/Bio-image_Analysis_with_Python/blob/main/biostatistics/stats1.ipynb)
 * Block 8 - Descriptive statistics
+  * [Lecture for descriptive statistics](https://github.com/BiAPoL/Bio-image_Analysis_with_Python/blob/main/biostatistics/Stats2.pdf)
+  * [Descriptive statistics and distributions](https://github.com/BiAPoL/Bio-image_Analysis_with_Python/blob/main/biostatistics/stats2.ipynb)
 * Block 9 - Method Comparison - Bland-Altman analysis
 * Block 10 - Hypothesis testing
 * Block 11 - Big data and data visualization

biostatistics/Untitled.ipynb

@@ -0,0 +1,68 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "4a26232c",
+   "metadata": {},
+   "source": [
+    "# Descriptive statistics"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "21cf78a6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import seaborn as sns\n",
+    "import scipy.stats as st\n",
+    "import matplotlib.pyplot as plt\n",
+    "import matplotlib.mlab as mlab\n",
+    "import pandas as pd\n",
+    "import statsmodels.api as sm\n",
+    "import statistics\n",
+    "import os \n",
+    "from scipy.stats import norm"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ffb951eb",
+   "metadata": {},
+   "source": [
+    "## Probability data, binomial distribution"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "543de0c2",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

biostatistics/data/BBBC001.csv

@@ -0,0 +1,90 @@
+After entering your measurement, please make the text color white. Don't cheat! Thanks :-);;;;
+Annotator name (pseudonym is ok);BBBC001 manual count;BBBC001 CLIJ Voronoi Otsu Labeling;BBBC001 StarDist;BBBC001 Find Maxima
+Robert;370;367;379;
+Lenka B.;365;360;373;375
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+Alina S. ;380;375;379;
+Lena T.;389;371;382;426
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+Lucas V.;356;367;;
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+Julia ;367;;;
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