This extension enhances Google Analytics by providing implicit statistical evaluation of data.

Latest Version

Version
3.1
Update
November 13, 2019
Size
48.21KiB
Developer
noahonnumbers.com
Category
Users
535
Rating
3.5 ★
Manifest Version
2
Web Store Status
Languages Support
English
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Permissions
DeclarativeContent
Storage
ActiveTab
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Statistical Test for Google Analytics Extension

One very useful feature of Google Analytics is the comparison of timeframes for metrics. You can compare number of sessions, bounce rate, E-commerce transactions, AdWords cost, etc. between adjacent weeks, months, or years.

One shortcoming in this comparison feature is that the percentage change calculated by Google for these metrics is not qualified. This extension addresses this shortcoming by evaluating the change between time periods for statistical significance.

Currently, for 5 < points < 40 the Wilcoxon Signed-Rank test is used. For points > 40, the paired Student's t-test is used.

Release Notes:

Version 3.1
* Separate tab for each metric; support multiple metrics on graph
* Should support metrics from line graphs on any page
* Reload button for when extension misses capturing data
* Also show date range and percentage change for metric

Version 2.3
* Update calculation of Wilcoxon statistic (used when n<40) with port of SciPy implementation
* Styling changes
* Warnings added and other fixes

Version 2.1
* Versions 1.* were broken due to changes in Google Analytics. Updated data extraction to pull directly from Google's web requests, rather than calculating from the DOM. More accurate and robust
* When you change the dates or metric on a chart, it will automatically recalculate

Limitations:
1. Time frames to be compared should begin on the same weekday (Monday and Monday or Friday and Friday), to minimize confounding factors in the comparison. They should be the same length of time. Be careful to ensure this, especially for year-over-year monthly comparisons. This script derives its statistical power by treating metrics as paired data points (based on the day of the week).

2. Must compare at least 5 data points (days, weeks, or months). Beyond the lower limit, the statistical test lacks sufficient power.

For further documentation and description of the statistical tests, visit https://noahonnumbers.com/blog/entry/statistics-google-analytics
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Source Manifest.json

{"update_url": "https://clients2.google.com/service/update2/crx", "manifest_version": 2, "name": "Statistical Test for Google Analytics", "short_name": "GA Stat Test", "description": "This extension enhances Google Analytics by providing implicit statistical evaluation of data.", "version": "3.1", "offline_enabled": true, "background": { "page": "background.html" }, "icons": { "16": "icon16.png", "48": "icon48.png", "128": "icon128.png" }, "page_action": { "default_icon": "icon48.png", "default_title": "GA stats", "default_popup": "popup.html" }, "permissions": ["declarativeContent", "storage", "activeTab"], "content_scripts": [ { "js": ["jquery.min.js", "interceptor.js"], "matches": ["*://analytics.google.com/*"], "run_at": "document_start" } ]}
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How to download and manually install Statistical Test for Google Analytics extension for Chrome

Looking for a way to install Statistical Test for Google Analytics extensions for Chrome, you can search for them in the Chrome Web Store, clicking the "Add to Chrome" button, and following the straightforward process.

However, you may need to install Statistical Test for Google Analytics extensions manually, this article outlines two simple methods to effortlessly install Statistical Test for Google Analytics extensions, whether they come as unpacked folders in compressed formats like .zip or as .crx files.

Method 1: Download Statistical Test for Google Analytics extension and manually install through Drag &Drop

If you ever need to manually install a Statistical Test for Google Analytics extension for Chrome, don't worry, it's a simple process. Just follow these easy steps, and you will have your extension ready to use in no time.

Step 1: Download the Statistical Test for Google Analytics Extension by clicking the "Download CRX" button on the website.

Look for the Statistical Test for Google Analytics extension you wish to install. Go to the website and download the Statistical Test for Google Analytics extension package, which is usually a .CRX file and comes in a zipped file. Here ".crx" file is the format for Statistical Test for Google Analytics extension that contains all the data.

Step 2: Extract &Arrange Files

Once the file is downloaded, extract that file into its own folder. Similarly, give that extension files a permanent home. In other words, keep it in a folder that you don't accidentally delete it because these files will be needed to make that extension work.

Step 3: Go to the Chrome Extensions Page

Open Google Chrome and in the address bar, type chrome://extensions; it will open the Google Chrome extensions page. Make sure that "My extensions" is selected in the sidebar.

Step 4: Drag and Drop the Extension

Now, go to the folder where you extracted the Statistical Test for Google Analytics extension and drag &drop the extension file from there anywhere onto the extension page within Google Chrome.

Step 5: Complete the Installation

Once you drag and drop the extension file, follow the steps that Google Chrome takes you through. Similarly, if the extension file is of .crx file format, you will be required to review the permissions and then add the extension.

Now, you can manage that added extension as you would like to with any other Chrome extension that you added through Chrome Webstore. Its icon will also appear in the Google Chrome Menu on the right side of the address bar once you activate it.

Method 2: Download Statistical Test for Google Analytics extension for Chrome and install in Developer Mode

This is another method to install Statistical Test for Google Analytics extension manually, but the twist is that here, you install by enabling the developer mode option provided in Google Chrome. This mode is commonly used for testing extensions or running unpublished tools.

Step 1: Download the Statistical Test for Google Analytics extension file

Select and download the Statistical Test for Google Analytics extension by clicking the 'Download CRX' button on the website.

Step 2: Extract the downloaded contents

Convert the file to a ZIP file if it is in CRX format then extract the Statistical Test for Google Analytics extension zip file or folder that you downloaded. Make sure you extract it using the same folder name and keep it safely in another folder, so you don't delete it by mistake. The extracted folder will be needed to keep your Statistical Test for Google Analytics extension running.

Step 3: Open Chrome Extension Setting Page

In the address bar of Google Chrome, type chrome://extensions and open the Chrome Extension Page.

Step 4: Enable Developer Mode

After opening the Chrome Extension page, look at the top right side, and you will find the toggle option of "Developer mode."Simply enable that developer mode option.

Step 5: Load the Unpacked Extension

Once you enable the developer mode option, you will see the menu of Load Unpacked, Pack Extensions and Update. From that, select the option "Load unpacked."

Step 6: Select the Extension Folder

Once the pop-up opens upon clicking Load unpacked, select the Statistical Test for Google Analytics extension directory and click on the "Select Folder "button.

Step 7: Confirm and Install

After you select an extension folder of a Google Chrome extension you're installing manually, confirm its installation for the final time and let the installation complete.

Conclusion

Here we've made a step-by-step guide on How to manually install Statistical Test for Google Analytics extension in 2 ways. We hope this guide proves helpful.

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User reviews

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Eric Richard (ID: 000000d7446fd303) Voted 2 ★ - Updated 04/02/2020 The extension only says that "data is loading". Seems not to work. Sorry for the rating but chrom web store wants us to rate first before we write the review.

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Sean Clark (ID: 000000e92b0327ca) Voted 5 ★ - Updated 05/30/2014 I am used to using "statistical significance" in our conversion rate optimisation, but to have it easily available directly in Google Analytics for any data is just awesome.