{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Lesson 16 exercises\n", "\n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Exercise 16.1\n", "\n", "What is the plug-in principle and how is it used in non-parametric statistics?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Exercise 16.2\n", "\n", "What is a bootstrap sample and what is a bootstrap replicate?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Exercise 16.3\n", "\n", "Consider the following data set for waiting times in minutes for nuclear localization events of the gene MSN-2 in yeast (these are real measurements done by Yihan Lin in Michael Elowitz's lab)." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "t = [3, 6, 11, 5, 5, 4, 73, 31, 7, 6, \n", " 30, 4, 32, 30, 5, 53, 2, 15, 18, \n", " 14, 3, 49, 7, 4, 4, 2, 9, 11, 8, \n", " 5, 14, 6, 32, 40, 3, 5, 24]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You suspect that MSN-2 localization may be a Poisson process and therefore that these waiting times are Exponentially distributed with a characteristic wait time of 15 minutes. Do a quick graphical analysis to check out this idea. Also compute a point estimate for the mean waiting time and a 95% confidence interval for it." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Exercise 16.4\n", "\n", "Write down any questions or points of confusion that you have." ] } ], "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": "3.8.5" } }, "nbformat": 4, "nbformat_minor": 4 }