{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Rounding with Function Calls" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "These exercises give you practice calling functions in Python." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Question 1.** Using the function `round`, round the number 1.23456789 to the nearest integer. Give the result the name `rounded`." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "rounded = ...\n", "rounded" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Question 2.** Round 1.23456789 to the nearest *thousandth* (.001).\n", "\n", "*Hint:* Running `round?` in a code cell will show you Python's documentation for the `round` function." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "less_rounded = ...\n", "less_rounded" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Suppose you're counting all the small donations made to a political candidate. The donations were:\n", "\n", "* 32.25\n", "* 15.00\n", "* 24.45\n", "\n", "You need to report the total rounded to the nearest dollar.\n", "\n", "**Question 3.** First you decide to round *each donation* individually and then add up those 3 rounded amounts. Compute that." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "sum_of_rounded_amounts = ...\n", "sum_of_rounded_amounts" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Question 4.** You suspect this method doesn't work quite right. To check, you decide to try a different method: Adding up the donations, and then rounding the total. Compute that." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "rounded_sum = ...\n", "rounded_sum" ] } ], "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": "3.8.3" } }, "nbformat": 4, "nbformat_minor": 1 }