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ftest.html
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<!DOCTYPE html>
<html>
<head>
<!-- Global site tag (gtag.js) - Google Analytics -->
<script async src="https://www.googletagmanager.com/gtag/js?id=UA-131282143-1"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag(){dataLayer.push(arguments);}
gtag('js', new Date());
gtag('config', 'UA-131282143-1');
</script>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<title>EZ Statistics: F-test</title>
<meta name="description" content="EZ Statistics f-test">
<link rel="stylesheet" href="style/stats.css">
<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.12.4/jquery.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery-csv/0.71/jquery.csv-0.71.min.js"></script>
<script src="https://cdn.plot.ly/plotly-latest.min.js"></script>
<script src="jstat.js"></script>
<script src="ezstatistics-0.30.js"></script>
</head>
<body>
<center><img class="round" src="style/logo.png" height="105"/></center>
<div style="text-align: right"><a href="index.html">Back to main page</a></div>
<h3 class="f18b">F-test for equal variances</h3>
Tests if two samples have equal variances. Requires that the samples are independent and normally distributed. The <a href="shapiro_wilk.html">Shapiro-Wilk Expanded test</a> can be used to check if samples are normally distributed.<br> <br>
Tests the hypotheses:
<table>
<tr>
<th class="dark" width="30">H<sub>0</sub></th>
<td class="border">The two samples have equal variances </td>
</tr>
<tr>
<th class="dark">H<sub>1</sub></th>
<td class="border">The variances of the two samples are unequal </td>
</tr>
</table>
<div class="smalltext">
<div class="label16">
<h3 class="f16"> Data Entry</h3>
</div>
<br/>
<table>
<tr>
<td>Sample A:</td>
<td><input class="sample" name="sampA" id="samp1" value="13, 17, 19, 11, 20, 15, 18, 9, 12, 16"></td>
<tr/>
<tr>
<td>Sample B:</td>
<td><input class="sample" name="sampB" id="samp2" value="12, 8, 6, 16, 12, 14, 10, 18, 4, 11"></td>
<tr/>
<tr>
<td>Significance level α: </td>
<td><input class="value" name="alpha" id="alpha" value="0.05"></td>
</tr>
<tr>
<td>Upload CSV file:</td>
<td>
<input type="file" name="File Upload" id="txtFileUpload" accept=".csv" />
</td>
</tr>
</table>
<br>
<button class="test" onclick="javascript:run_ftest()">Run Test</button>
<button class="clear" onclick="javascript:clear_fields(2)">Clear</button>
<div id="error">
</div>
<div id="test_results" style="display: none;">
<div class="label16">
<h3 class="f16"> Test Result</h3>
</div>
<br/>
<table class="border">
<thead>
<tr>
<th colspan=4 class="dark">Data Summary</th>
</tr>
<tr>
<th class="dark" width="70">Sample</th>
<th class="dark" width="40">N</th>
<th class="dark" width="100">Mean</th>
<th class="dark" width="100">Stdev</th>
</tr>
</thead>
<tbody>
<tr>
<th class="dark">A</th>
<td class="border" id="n1"> </td>
<td class="border" id="mean1"> </td>
<td class="border" id="stdev1"> </td>
</tr>
<tr>
<th class="dark">B</th>
<td class="border" id="n2"> </td>
<td class="border" id="mean2"> </td>
<td class="border" id="stdev2"> </td>
</tr>
</tbody>
</table>
<br/>
<table class="border">
<thead>
<tr>
<th class="dark" width="550" colspan="2">Result (two-tailed)</th>
</tr>
</thead>
<tbody>
<tr>
<td class="dark" width="130"><b>Significance level α:</b></td>
<td class="border" width="420" id="sign_level"> </td>
</tr>
<tr>
<td class="dark"><b>P-value:</b></td>
<td class="border" id="p"> </td>
</tr>
<tr>
<td class="dark"><b>F-score:</b></td>
<td class="border" id="f"> </td>
</tr>
<tr>
<td class="dark"><b>Result:</b></td>
<td class="border" id="res"> </td>
</tr>
</tbody>
</table>
<div id="viz">
<div class="label16">
<h3 class="f16"> Data Visualization</h3>
</div>
<div id="chart"></div>
</div>
</div>
</div>
</body>
</html>