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+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "
\n",
+ " How People Learn - Autumn 2019-2020
\n",
+ " C. Hardebolle, R. Tormey - CC BY NC SA 4.0 International
\n",
+ "
"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Solution of the exercise\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "**A. Getting familiar with the code.**\n",
+ "1. In the code cells above, where is the t-test computed?\n",
+ "1. What are the two parameters that the t-test function takes as input?\n",
+ "1. If you wanted to change the population mean to a different value, like $\\mu = 5.4$ cm for instance, in which cell would you change it? \n",
+ "1. What is the result of the t-test if you compare the Vullierens sample to a population mean of $\\mu = 5.4$ cm?\n",
+ "\n",
+ "*Change the value of $\\mu$ back to 5.552 before working on the following questions.*\n",
+ "\n",
+ "**B. Analyzing another dataset.**\n",
+ "\n",
+ "A researcher from Tokyo sends you the results of a series of measurements she has done on the Irises of the [Meiji Jingu Imperial Gardens](http://www.meijijingu.or.jp/english/nature/2.html). The dataset can be found in the `iris-sample2-meiji.csv` file. \n",
+ "How similar (or different) is the Meiji sample compared to the Iris virginica population documented by Edgar Anderson?\n",
+ "\n",
+ "The following questions are designed to guide you in analyzing this new dataset using this notebook.\n",
+ "\n",
+ "1. Which of the code cells above loads the data from the file containing the Vullierens dataset? Modify it to load the Mejij dataset.\n",
+ "1. Do you need to modify anything else in the code to analyze this new dataset?\n",
+ "1. What can you conclude about the Meiji sample from this analysis?\n",
+ "\n",
+ "**C. Going a bit further in the interpretation of the t-test.**\n",
+ "1. In the code cells above, where is the cut-off point $\\alpha$ defined? Change its value to 0.01 and re-execute the notebook. \n",
+ "1. How does this affect the result of the t-test for the Meiji sample?"
+ ]
+ }
+ ],
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+ "display_name": "Python 3",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
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+ "name": "python",
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+}