Statistical Test for Google Analytics

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

什么是Statistical Test for Google Analytics?

Statistical Test for Google Analytics是由https://noahonnumbers.com开发的Chrome扩展程序,该扩展的主要功能是“This extension enhances Google Analytics by providing implicit statistical evaluation of data.”。

扩展截图

screenshot
screenshot

下载Statistical Test for Google Analytics扩展crx文件

下载Statistical Test for Google Analytics扩展crx格式的文件,手动将Chrome插件安装到浏览器中,也可以将crx文件分享给朋友,轻松安装Chrome插件。

扩展使用说明

                        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                    

扩展基本信息

名称 Statistical Test for Google Analytics Statistical Test for Google Analytics
ID jdijbhedpeoddlmcbooapojknnfkengj
官方URL https://chromewebstore.google.com/detail/statistical-test-for-goog/jdijbhedpeoddlmcbooapojknnfkengj
简介 This extension enhances Google Analytics by providing implicit statistical evaluation of data.
文件大小 48.21 KB
安装次数 658
当前版本 3.1
更新时间 2019-11-13
上架时间 2019-11-13
评分 3.50/5 共6次评分
开发者 https://noahonnumbers.com
电子邮箱 [email protected]
付费类型 free
扩展官网 https://noahonnumbers.com/blog/entry/statistics-google-analytics
帮助页面URL https://noahonnumbers.com/blog/entry/statistics-google-analytics
支持的语言 en
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"
        }
    ]
}