Testing Implementation

Tutorial 4 of 4

Introduction

Welcome to this tutorial! The goal of this guide is to teach you how to present the results of hypothesis testing using HTML, CSS, and JavaScript. Hypothesis testing is a statistical method that is used in making statistical decisions using experimental data.

By the end of the tutorial, you will have learned how to:
1. Present statistical data using HTML.
2. Apply CSS to make your presentation visually appealing.
3. Use JavaScript to make your presentation interactive.

As prerequisites, you should have basic knowledge of HTML, CSS, and JavaScript. Familiarity with statistical concepts, particularly hypothesis testing, will also be helpful.

Step-by-Step Guide

HTML for Data Presentation

HTML (HyperText Markup Language) is the standard markup language for creating web pages. You can use HTML elements like tables to present your data.

CSS for Styling

CSS (Cascading Style Sheets) is a style sheet language used for describing the look and formatting of a document written in HTML. You can use CSS to style your tables and make them more visually appealing.

JavaScript for Interactivity

JavaScript is a high-level, interpreted programming language that is a core technology of the World Wide Web. It is used to make webpages interactive and provide online programs, including video games.

Code Examples

Let's consider a real-life example. Assume we have performed a hypothesis test with a result of a p-value. We can present this in a table using HTML, style it with CSS, and add some interactivity with JavaScript.

HTML

<!DOCTYPE html>
<html>
<head>
</head>
<body>

<h2>Hypothesis Test Result</h2>

<table id="testResult">
  <tr>
    <th>Test</th>
    <th>P-value</th>
  </tr>
  <tr>
    <td>Test 1</td>
    <td class="pValue">0.05</td>
  </tr>
</table>
</body>
</html>

CSS

table {
  width: 100%;
  border-collapse: collapse;
}

th, td {
  padding: 15px;
  text-align: left;
  border-bottom: 1px solid #ddd;
}

.pValue {
  color: blue;
}

JavaScript

document.addEventListener('DOMContentLoaded', (event) => {
  const pValueElement = document.querySelector('.pValue');
  const pValue = parseFloat(pValueElement.textContent);
  if (pValue < 0.05) {
    pValueElement.style.color = 'red';
  }
});

Summary

In this tutorial, we've covered how to present the results of a hypothesis test using HTML, how to style your presentation with CSS, and how to add interactivity with JavaScript.

Practice Exercises

Modify the JavaScript code to change the color of the p-value to green if it is greater than 0.05.
Add a new row in the table for a second test result. Update the JavaScript code to change the color of the p-value based on its value.
Add a button that, when clicked, adds a new row to the table with a test result that you input.