Statistics for Data Science: Introduction to t-test and its Different Types (with Implementation in R)

Analytics Vidhya

Introduction “You can’t prove a hypothesis; you can only improve or disprove it.” – Christopher Monckton Every day we find ourselves testing new ideas, The post Statistics for Data Science: Introduction to t-test and its Different Types (with Implementation in R) appeared first on Analytics Vidhya. R Statistics Hypothesis Testing Inferential Statistics statistics t-test

iFrame Test

BI-Survey

The post iFrame Test appeared first on BI Survey. Hadoop and Data Lakes Report. Use Cases, Benefits and Limitations. Request the free report now × Hadoop and Data Lakes. Please enter your contact details below to get your free copy of the report.

Pardot Test

BI-Survey

The post Pardot Test appeared first on BI Survey. Don‘t miss out – Get the latest BI product insights, research, surveys and more! Other

PyMongo Tutorial: Testing MongoDB Failover in Your Python App

DataFloq

We often undertake testing of failover characteristics of various MongoDB drivers to qualify them for production use cases, or when our customers ask us for advice.

REST API Testing Strategy: What Exactly Should You Test?

Sisense

Mike Cohn’s famous Test Pyramid places API tests at the service level (integration), which suggests that around 20% or more of all of our tests should focus on APIs (the exact percentage is less important and varies based on our needs). Once we have a solid foundation of unit tests which cover individual functions, API tests provide higher reliability covering an interface closer to the user, yet without the brittleness of UI tests. API test actions.

Testing Your Machine Learning Pipelines

KDnuggets

Let’s take a look at traditional testing methodologies and how we can apply these to our data/ML pipelines. 2019 Nov Tutorials, Overviews Machine Learning Pipeline Python

Our Obsession with Continuous Testing

DataRobot

This system is at the core of our comprehensive testing philosophy that we believe is crucial to delivering a platform that our customers can trust, no matter what DataRobot features they’re using or how they’ve chosen to deploy them.

What You Should Know about CRM Testing

TDAN

Predicted to grow to a stunning $29 billion by 2022 at a 1.9% Compound Annual Growth Rate (CAGR), the CRM software market takes a notable portion of the global information technology industry.

What is the Paired Sample T Test and How is it Beneficial to Business Analysis?

Smarten

This article discusses the Paired Sample T Test method of hypothesis testing and analysis. What is the Paired Sample T Test? The Paired Sample T Test is used to determine whether the mean of a dependent variable e.g., weight, anxiety level, salary, reaction time, etc.,

FDIC Part 370 Testing Support

Perficient Data & Analytics

Each phase of a company’s Part 370 response will have to undergo rigorous testing to ensure that all the regulatory requirements are met and the FDIC’s ongoing testing will produce satisfactory results. Our industry-leading DevOps organization that can assist with: Test planning and execution.

Experiment or Die. Five Reasons And Awesome Testing Ideas.

Occam's Razor

There is a tendency to think experimentation and testing is optional. Just don't fall for their bashing of all other vendors or their silly claims, false, of "superiority" in terms of running 19 billion combinations of tests or the bonus feature of helping you into your underwear each morning.

EPBCS – Performance load testing using EPM Automate and HAR

Perficient Data & Analytics

This blogs covers the basic steps to install Fiddler, create HAR files for user tasks and use the HAR files to do a performance testing. Fiddler is a web debugging tool used for performance testing, Web Session Manipulation, HTTP/HTTPS activity recording and there are many other features.

Continuous data for continuous testing

IBM Big Data Hub

But, finding the "right data" for agile development and continuous testing can be tricky. Most organizations are moving software development methods to newer agile methods to benefit from better technology capabilities, delivered more rapidly and with improved quality. Learn how to make it simpler

Test principles – Data Warehouse vs Data Lake vs Data Vault

Perficient Data & Analytics

Understand Data Warehouse, Data Lake and Data Vault and their specific test principles. It will give insight on their advantages, differences and upon the testing principles involved in each of these data modeling methodologies. Data Lake Testing. Key Testing principle.

What is the Chi Square Test of Association and How Can it be Used for Analysis?

Smarten

This article describes chi square test of association and hypothesis testing. What is the Chi Square Test of Association Method of Hypothesis Testing? Let’s conduct the Chi square test of independence using two variables: Gender and Product category.

Accelerating time-to-market with fabricated test data

IBM Big Data Hub

There are still challenges when building and managing test data environments. Protecting personal and sensitive data is vital. But, understanding the regulatory environment and available tools is just the first step. Here's how to overcome them

Test Your Datacenter Knowledge!

Nutanix

So, you work in a datacenter. Maybe you spend a lot of time there. You might know your datacenter pretty well, but how well do you know what’s happening in other datacenters around the world

Test Chapter – Best of Stack Overflow

The Data School

summary

What is the Independent Samples T Test Method of Analysis and How Can it Benefit an Organization?

Smarten

This article focuses on the Independent Samples T Test technique of Hypothesis testing. What is the Independent Samples T Test Method of Hypothesis Testing? Let’s look at a sample of the Independent t-test on two variables.

Test Your Datacenter Knowledge!

Nutanix

So, you work in a datacenter. Maybe you spend a lot of time there. You might know your datacenter pretty well, but how well do you know what’s happening in other datacenters around the world

Model Interpretability with TCAV (Testing with Concept Activation Vectors)

Domino Data Lab

These are the kind of questions Been Kim , Senior Research Scientist at Google Brain, poised in the MLConf 2018 talk , “Interpretability Beyond Feature Attribution: Testing with Concept Activation Vectors (TCAV)”. Testing with Concept Activation Vectors (TCAV): The Zebra. For example, when building a model to help medical doctors to do a diagnosis, it may be helpful to test your model using doctor-friendly high-level concepts to surface bias or level of domain expertise.

Protect your customer data with relevant test data

IBM Big Data Hub

At a time when data breaches and personalized, sensitive data leaks are receiving great focus, individuals and governments alike are pushing hard on the business community to do more to protect citizens' rights and the sensitive customer data these companies maintain

Test Your Datacenter Knowledge!

Nutanix

So, you work in a datacenter. Maybe you spend a lot of time there. You might know your datacenter pretty well, but how well do you know what’s happening in other datacenters around the world

Test your Datacenter Knowledge!

Nutanix

So, you work in a datacenter. Maybe you spend a lot of time there. You might even spend some unforeseen weekends there

Designing A/B tests in a collaboration network

The Unofficial Google Data Science Blog

We present data from Google Cloud Platform (GCP) as an example of how we use A/B testing when users are connected. Experimentation on networks A/B testing is a standard method of measuring the effect of changes by randomizing samples into different treatment groups.

Experimentation and Testing: A Primer

Occam's Razor

This post is a primer on the delightful world of testing and experimentation (A/B, Multivariate, and a new term from me: Experience Testing). It is important to realize that experimentation and testing might sound big and complex but it is not.

Postdoctoral position (2 years) in multivariate analysis and deep learning

KDnuggets

Jobs Deep Learning Multivariate Testing Postdoc Sweden Umea UniversityHelp develop new e-science methods that fundamentally integrates Deep Learning and Multivariate analysis. The postdoc position is full-time for a period of two years.

The Design Thinking Process: Five Stages to Solving Business Problems

erwin

Test – At this point, it’s time to test whether the proposed solution works. Unsuccessful tests could lead your team back to the ideation stage. In some cases, you may want to circle back to stage one to test your new solution with end users.

Test Your Skills With A Data Science Crossword

Dataiku

Data scientists are busy people, but that doesn't mean they don't have time for fun! We've created a data science crossword that melds work and play, so see if you have what it takes. Data Basics

Why CEOs should test big digital business ideas in tiny countries.

Mark Raskino

He was talking about something we call the ‘compound uncertainty’ that must be navigated when we want to test and introduce a real breakthrough digital business idea. Last week the very first regular commercial drone delivery service commenced.

Kill Useless Web Metrics: Apply The "Three Layers Of So What" Test

Occam's Razor

A very simple test can allow you to figure out if the metric you are dutifully reporting (or absolutely in love with) is gold or mud. It is called the Three Layers of So What test. What's this lovely test? So that's the story of the "so what" test.

Lab Usability Testing: What, Why, How Much.

Occam's Razor

In this post we’ll cover the grand daddy of UCD (User Centric Design) methodologies: Lab Usability Testing. Since many of us in the Web Analytics community don’t have optimal awareness of this methodology we’ll go into some detail about how lab usability tests are conducted.

How and when to calculate statistical significance

Mixpanel on Data

The official definition is “a result that is unlikely to have occurred given a null hypothesis,” and it’s typically found alongside riveting descriptions of “parametric tests” in such page-turning classics as the 1925 Statistical Methods for Research Workers. Step 4: Run the test.

Interviewing Tip: Stress Test Critical Thinking. Please.

Occam's Razor

The model suggested in the email of, what I call, temp to perm is not a bad idea because it both allows you to test the person out but more importantly you can check other attributes like leadership and team fit etc. Interviewing Tip: Stress Test Critical Thinking.

Six Nudges: Creating A Sense Of Urgency For Higher Conversion Rates!

Occam's Razor

Such is the case with A/B testing. I’m off to take a walk in the beautiful California sun, you go implement my recommendations for nudges as A/B tests—it is the only way to unlock the kind of imagination required to create profitable happy customer experiences.

ICON Blockchain Decentralization Delay

Insight

If it isn’t tested, it’s broken Testing a network whereby governance structures can be managed and fully decentralized is a major challenge. Basic testing workflow that Insight is building and other P-Rep candidates can contribute to for improving the network.

Prevent Rain Clouds Along Your Snowflake Migration

Sirius Computer Solutions

Validate and test through the entire migration. Don’t wait until the end of the migration; establish and document a testing and validation process throughout the entire process. Validating and testing data throughout the entire migration process.

Preparing Your Website for the Holidays

Sirius Computer Solutions

This requires coordination across multiple teams to get all of these applied and tested within the various environments, so don’t leave it to the last minute. What about external pen testing for potential threats and vulnerabilities? And if they are, plan extra time for testing.

Eight Silly Data Things Marketing People Believe That Get Them Fired.

Occam's Razor

If the simple A/B (test/control) experiment demonstrates that delivering display banner ad impressions to the test group delivers increased revenue, buy impressions to your heart's content.

The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. Testing out a new feature. Identify, hypothesize, test, react. But at the same time, they had to have a real test of an actual feature.

The Ultimate Business Intelligence Quiz

Phocas

Test your skills in the Ultimate Business Intelligence Quiz. How good is your knowledge of business intelligence? How many questions can you answer? Business Intelligence Basics

6 Best Practices for Your CECL Response Program

Perficient Data & Analytics

Testing Support. Each phase of a company’s CECL response will have to undergo rigorous testing to ensure that all the regulatory requirements are met. As with requirements definition, having testing support resources that are dedicated entirely to CECL will ensure consistency of methods, documentation, and reporting across all of the affected silos.

Measuring Incrementality: Controlled Experiments to the Rescue!

Occam's Razor

Then they isolated regions of the country (by city, zip, state, dma pick your fave) into test and control regions. People in the test regions will participate in our hypothesis testing. So for variation #3, no catalogs or email were sent to the customers in the test group.