{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Homework 3.2. The Exponential distribution (10 pts)\n", "\n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "*You may submit this problem as a PDF, either with clearly typed mathematics or with neat handwriting, if you like.*\n", "\n", "Say I am interested in modeling the time it between repressor-operator binding events in a cell. We might model the time $t$ to be Exponentially distributed, having probability density function\n", "\n", "\\begin{align}\n", "f(t;\\beta) = \\beta \\mathrm{e}^{-\\beta t}.\n", "\\end{align}\n", "\n", "**a)** Why might we model $t$ as being Exponentially distributed?\n", "\n", "**b)** Write down the CDF, $F(t;\\beta)$.\n", "\n", "**c)** Say you are interested instead in the reciprocal time, $k = 1/t$. Write down the PDF for $k$, $f(k;\\beta)$.\n", "\n", "
" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.11.5" } }, "nbformat": 4, "nbformat_minor": 4 }