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Questions tagged [ab-test]

A/B testing, also known as split or bucket testing, is a controlled comparison of the effectiveness of variants of a website, email, or other commercial product.

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Hypothesis test for classification model

I have a model that outputs 0 or 1 for interest/not-interest in a job. I'm doing an A/B/C test comparing two models (treatment groups) and none (control group). ANOVA for hypothesis testing and t-test ...
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Can I use multi armed bandits to optimize how much both algorithms are weighted when creating a composite score?

So, I'm aware that multi-armed bandits are great for evaluating multiple models and from what I understand, it is mainly used to pick a specific model. I would still like to evaluate two models but I ...
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A/B test on model - split on results

I developed a predictive model that assigns the best product (P1, P2, P3) for each customer. I wanted to compare the conversion rate using this model VS the as-is deterministic assignment, so I ...
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Causal Inference where the treatment assignment is randomized [closed]

I have mostly worked with Observational data where the treatment assignment was not randomized. In the past, I have used PSM, IPTW to balance and then calculate ATE. My problem is: Now I am working on ...
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2 votes
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AB testing split algorithm

I want to understand what is the most effective algorithm for splitting. I have ids of users and I want to split them into 2 groups. Now I have 2 variants: Modulo approach - let's say we will place ...
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Multivariate testing

I'm going to run a test with 4 different variants (3 variants and a control group), and we want to find the variant with the highest conversion. Are there any resources/methods in R/python to: ...
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Intragroup indepence in two groups analysis

I am working in an experiment in which I want to analyze the impact of a treatment on two different groups of customers. Most of the method for analysis I have checked (for example t-test) have as a ...
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1 answer
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How do I conduct an experiment on the new pricing if it's impossible to conduct an A/B test?

We want to introduce a new price list for the customers of our international SaaS company. Beforehand we want to test this new price list in several countries. A/B test cannot be conducted here ...
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Practical constraints in A/B testing

I saw an article about an A/B test that google had performed way back. They wanted to decide what shade of blue a button should be and how that affects click-through rate. They divided users randomly ...
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What is the right approach to bucket users for algorithms with different coverage for A/B testing

I've couple of recommendation algorithms that I want to A/B test. Algorithm A has 90% user coverage and algorithm B has 95% user coverage. That means if the algorithms are asked to provide ...
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A/B Testing (Binomial Distribution vs Random Distribution)

When performing an A/B test for the number of clicks for users viewing (each view is an impression) two variants of an ad, a binomial distribution can be assumed where each variant has a constant ...
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A/B test results contradictory with offline machine learning model performance

This seems to be a common problem when bringing machine learning models to production. Let's say we have an optimized machine learning model which gives decent performance metric in the unseen testing ...
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1 answer
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Time duration for ML models A/B testing

I am going to perform A/B tests for ML models. However I am not sure how long should I run it online in order to see significant differnce. What would be the right time frame ? and what will be the ...
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Recommend System AB test metric events

I build personal recomendation system for choosing games. In website on main page on special place there is collection of personal games recomendation. And after AB test(between 2 recommend system) I ...
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Data science Product Question Help [closed]

I was recently asked this in a ds interview pertaining to product thinking - If a product feature is being rolled out, but an a/b test is unable to be performed due to whatever reason, how can we ...
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Imbalanced classification or Regression? What is the best approach to my A/B testing related problem?

The context of the problem is A/B testing of two new versions of a game. I have a structured dataset (50000 rows x 22 columns) from the game designers that represents data with respect to two versions ...
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2 votes
1 answer
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Permutation test on two groups

I am trying to use a permutation test to test my hypothesis. I want to make sure I am understanding concept of permutation correctly. I have control and experimental group. Then I combine them and ...
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Treatment and Control selection in A/B Testing

I'm hoping to get a better understanding of A/B Testing design. In particular, I'm interested in understanding how treatment and control units are selected. I read that these 2 groups are selected ...
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Firebase AB testing algorithm

We have run an AB test at firebase which has the following results: I was also building my own Bayesian AB-test suite and was wondering how they came to these conclusions. What I was doing was ...
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No statistical significance but observable trends

I have a general inference question regarding scenarios when results from data are not statistically significant but there appears to be an observable trend. For example, ...
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1 vote
2 answers
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Fitting a model as a significance testing alternative

My colleagues use somewhat unusual approach to estimate how far away performance of some of our company related processes diverge from historical levels. Their nature isn't really relevant for the ...
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How to create A/B test segements for highly variable data

I have a data in which there is a high degree of variability. My Objective is to do an AB test to check the behavior change due to new changes. All samples has shown historically high and low ...
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A/B testing with non-Gaussian distributions

I have two sets of samples (A, B) with a relatively high number (~10,000) and I want to see if a factor has affected sample B or not. Naturally, I should use A/B testing. The problem is, the ...
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1 vote
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Is it necessary to cap test and control metric at same percentile to treat outliers?

I am working on an AB test and the metric I am using to compare test and control is revenue. Both of my test and control have outliers. I am trying to treat outliers and have found that to do so, I ...
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How to select random data for two different recommender systems?

The business problem: We have two different vendors that offer personalized recommender engines and want to do A/B testing with them. The recommendation will give the user a personalized offer via a ...
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1 vote
1 answer
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Significant testing - repeated observation over multiple days

I work in mobile gaming, and want to analyze A/B test groups, but I believe I'm introducing errors in my calculations. The metric I'm looking at is: num of unique players who engaged in battle that ...
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2 votes
1 answer
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How to verify A/B test

Is there a way to check the result of A/B test to determine the better one. Suppose, Group A has 100 views and 10 clicks. Group B has 10 views and 2 clicks. How to chose which one produces more ...
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Testing whether observed control/test split invalidates my assumption of 50/50 randomised traffic

I recently ran a test on site traffic that was designed to be a 50/50 split. I actually observed a 50.7% to 49.3% split (154,490 vs 150,151 visitors). How can I test based on the sample size whether ...
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8 votes
2 answers
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A/B testing: How to calculate p-value on post test segments?

My question on A/B testing is about doing post test segmentation analysis. For example: I run an A/B test on my website to track bounce rate. On the treatment group, i put a video to explain ...
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A/B Testing Suitability for Hypothesis

I'm obscuring the data I'm working on, but I think this should get the point across. I'm trying to design a test for the following: A client sells various popsicles. They think that on days when it ...
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3 votes
2 answers
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Is it scientifically correct to derive conclusions unrelated to hypothesis from A/B test data

Consider a software A/B test with the hypothesis that "the addition of feature F is predicted to increase metric X". At the end ...
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1 vote
0 answers
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How can one compare these groups?

I have two dataset A and B. We have 93 persons in A and 88 in B. Dataset A contains number of person who had made a payment. So A is ...
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2 votes
3 answers
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How to approach a Data Science case study question?

I recently had a phone interview with a consumer tech company for a quant position. The question was basically, "imagine a facebook style social network site. Six months ago a new feature called '...
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Approaches to A/B testing when you can't randomize on the user level

I am trying to find suggestions for different approaches to running tests when it isn't possible to randomly assign users to test and control buckets. For example, if I own 10 shops and have a ...
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7 votes
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What does Prec@1 in fastText mean?

In Bag of Tricks for Efficient Text Classification paper which is popular right now, he calculates prec@1 for the datasets in the experimentation segment. What does that mean?
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5 votes
2 answers
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AB testing : When AA testing doesn't work

After 6 months of AB testing on our CRM tool (Oracle Responsys, but this could be true with anyone), the test exhibited some weird results so we decided to pause everything, and to make some good old ...
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Advance Methods of Understanding Significance of Customer Behaviors

I currently own a couple of websites and lately I've been implementing some feature changes - I've noticed some changes in website traffic and I was wondering what some of the more sophisticated ways ...
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A/B Test: Determine if a Lift in Measured Sales is Significant

I am no stats expert so any assistance will be greatly appreciated. I’m working on a post-campaign analysis to determine if any measured sales lift (sales lift per audience) is significant between ...
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4 votes
1 answer
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A/B testing randomization step

Let's say I want to measure a medicine’s impact on height. So I randomly broke down my user base into two groups (control and experiment, obviously). I calculated the average height for both groups ...
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4 votes
4 answers
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What is the minimum size of the test set?

The mean of a population of binary values can be sampled with about 1000 samples at 95% confidence, and 3000 samples at 99% confidence. Assuming a binary classification problem, why is the 80/20% ...
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3 votes
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How would I chi-squared test these simple results from A/B experiment?

I have results from an A/B experiment where users could do one of three things: Watch, Interact, or Nothing My data is like this: ...
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2 votes
2 answers
322 views

Retail Store Testing

I am an analyst who is new to retail store testing (for example: customer response to a store new layout or a new product or process in one or 2 stores). Any suggestions for a good book/blog/any ...
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Campaign Hypothesis Testing: Is using chi-square test appropriate?

I’ve just gotten the results back from a marketing campaign that consisted of testing new men’s and women’s apparel creative (test creative) against business as usual men’s and women’s creative (...
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1 vote
2 answers
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How to determine if a company decision was successful or not?

I'm trying to figure out if a decision taken in a company (offering discounts for specific products) is successful or not. I have done some research and saw that A/B testing might be a way to do this ...
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3 answers
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What are the methods to ensure that the population split for A/B test is random?

Before launching an A/B test, what are the methods to ensure that the population split in control and target group is random for a particular label say, purchase rate.
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How to control false positives in sequential A/B testing while keeping a low sample size?

I am working on a planned sequence of n independent A/B tests(=run a maximum of n tests or stop earlier if a good improvement is found) and in order to keep the significance level within an acceptable ...
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2 votes
3 answers
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Analysis of Split (A/B) tests using Poisson and/or Binomial Distribution

Cross posting this from Cross Validated: I've seen this question asked before, but I have yet to come across a definitive source answering the specific questions: What's the most appropriate ...
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14 votes
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Analyzing A/B test results which are not normally distributed, using independent t-test

I have a set of results from an A/B test (one control group, one feature group) which do not fit a Normal Distribution. In fact the distribution resembles more closely the Landau Distribution. I ...
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