Statistical Test for Google Analytics

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

什麼是Statistical Test for Google Analytics?

Statistical Test for Google Analytics是由https://noahonnumbers.com開發的Chrome擴展程式,該擴展的主要功能是“This extension enhances Google Analytics by providing implicit statistical evaluation of data.”。

擴展截圖

screenshot
screenshot

下載Statistical Test for Google Analytics擴展crx文件

下載Statistical Test for Google Analytics擴展crx格式的文件,手動將Chrome擴充功能安裝到瀏覽器中,也可以將crx文件分享給朋友,輕鬆安裝Chrome擴充功能。

擴展使用說明

                        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                    

擴展基本資訊

名稱 Statistical Test for Google Analytics Statistical Test for Google Analytics
ID jdijbhedpeoddlmcbooapojknnfkengj
官方網址 https://chromewebstore.google.com/detail/statistical-test-for-goog/jdijbhedpeoddlmcbooapojknnfkengj
簡介 This extension enhances Google Analytics by providing implicit statistical evaluation of data.
檔案大小 48.21 KB
安裝次數 658
目前版本 3.1
更新時間 2019-11-13
上架時間 2019-11-13
評分 3.50/5 共 6 次評分
開發者 https://noahonnumbers.com
電子郵箱 [email protected]
付費類型 free
擴展官網 https://noahonnumbers.com/blog/entry/statistics-google-analytics
說明頁面URL https://noahonnumbers.com/blog/entry/statistics-google-analytics
支援的語言 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"
        }
    ]
}