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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4
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1answer
49 views

How to interpret bayesian posterior distributions

I think that I miss something very basic about the posterior distributions in bayesian hypothesis testing. In the frequentist approach, we define the null hypothesis, compute the test power, define ...
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1answer
29 views

Test of ratio within population

Let's say I have two large containers, X and Y, both containing a mix of red and blue buttons (for clothes). Consider the unknown ratios $x$ := #blue / (#blue + #red) in container X $y$ := #blue / (#...
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How do I calculate sample sizes for multiple proportions, while maintaining a certain ratio of the sample sizes?

I am trying to perform z-tests for multiple proportions, while maintaining a certain ratio of the samples. For example, let's say I'm trying to compare 3 populations, and I want to maintain the ...
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0answers
32 views

Is it valid to use t-test when using ratio of two variants

Consider a setup where it is not possible to show different variants to different users. But we still would like to measure the performance of different variants. We would like to use the following ...
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2answers
94 views

How to select the best variant from an A/B/C test?

Suppose I've run an A/B/C experiment (same as A/B but with 3 groups instead of 2) and gathered the following data for number of participants in each group and number of desired actions in each group (...
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1answer
43 views

How would I run an A/B test if the observations are very right­-skewed?

As the title states, how would I run an A/B test if the observations are very right­-skewed? What could I do in order to still have a valid result? Should I remove outliers?
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28 views

Comparisons of targeting models

I need to compare two targeting models in an experiment. We will apply the same treatment to everyone who is targeted. The experimental set up is as follows: The total population is split into ...
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1answer
26 views

Sample size prediction in multivariate A-B testing

I need to run an A-B testing with one control group (40%) and 3 variants (20%) each. Base line = 0.65 Target lift = 0.25 Power =0.8 Confidence = 95% I found following R code to find minimum ...
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1answer
76 views

Bayesian A/B testing with parameters other than success rate

If I have certain number of clicks and conversions for a group of ads, I can do Bayesian A/B testing following this method http://ucanalytics.com/blogs/bayesian-statistics-to-improve-ab-testing-...
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1answer
47 views

What is the equation to calculate the sample size for A/B testing? [closed]

I have been searching for information on how to calculate sample size for A/B testing. My research was fruitless. I found many online calculators, but not any blog/paper that explains how the ...
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14 views

Why we have to use pooled sample proportion to calculate the pooled standard deviation of the difference?

The context can be found in Hypothesis Test: Difference Between Proportions It says there: ...
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1answer
20 views

Need help determining sample size for an AB test with two metrics

I need to run an experiment with customer support agents who are rated on two metrics by the customer: average issue resolution rate (proportion of issues resolved) and average star rating (1-5). ...
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29 views

Bayesian A/B testing and error estimates

Someone from my work started using an AB calculator that they found online and asked my take on the approach which i assume is incorrect. The approach takes the conversion and visits for control and ...
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0answers
21 views

Measuring incremental revenue / uplift

I run a campaign with an experimental design setup. The target and control group is representative and split 70/30. The target group receives an email communication The dynamics of the campaign ...
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1answer
29 views

What is necessary sample size for B in A/B test with unequal sample sizes?

I have a situation in which I want to measure if the error rate in system B (test) is worse than the error rate in system A (control). System A has a sample size of 100 and that cannot be modified. So ...
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3answers
583 views

2 sample t test for sample sizes - 30,000 and 150,000

I have 2 samples, one with sample size of 30,000 customers and the other with 150,000. I have to perform a 2 sample t test(on conversion rates of the 2 groups). My question is, will t test in this ...
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0answers
23 views

Interpretation for Chi-Square Test for Independence in A/B/n testing

I am testing the results of a marketing campaign which involves randomly splitting a group of people into 4 treatments. One group acts as a control and is shown no advertising, the other 3 groups are ...
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0answers
20 views

AB Test for Total Revenue: How to take both of conversion rate and average order value into account in my ab-test?

I have some purchase data for two groups of people, for instance: Method Revenue ------ ------- A 12 A 0 A 0 A 4 A 0 B 0 B 8 B ...
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1answer
37 views

AB testing and hypothesis testing

I have an entire market for which I plan to run two offers. I randomly split the market 50/50. All of Group A receives offer 1 and all of group B receives offer 2. I want to compare proportions of ...
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40 views

A/B testing for binary classification tasks

I work on project where each user has an IoT sensor and an ML algorithm tries to identify a given situation. The user carries the sensor 24/7 but I split the time into 'sessions'. For each session, I ...
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0answers
24 views

Confidence interval in Chi squared testing

How to calculate confidence interval when performing a Chi-Square significance testing? For reference where it's used - http://www.evanmiller.org/ab-testing/chi-squared.html Can we apply the same ...
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4answers
573 views

A/B testing ratio of sums

Context Consider the following scenario for a company selling goods online. A user can purchase several items (i.e. basket of items), some of which are of particular importance and are tracked ...
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0answers
48 views

How to calculate significance for an A/B test for average revenue per daily active user over a 1-week test period?

One simple approach is to use "per active day" metrics. e.g. "revenue_per_active_day" . However there is a fundamental flaw with this approach. e.g. during a 7-day period, let's say user 1 is active ...
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1answer
107 views

AB Testing vs Hypothesis Testing

I'm having trouble making the full connection between AB Testing and Hypothesis testing. Hypothesis Testing Conducting a test to compare two means, we need the standard deviation of both samples, and ...
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2answers
56 views

statistical significance of A B test if some observation are removed due to errors

I have ran an A/B test and using chi-square test of independence, results shows that group A improves on group B by less than 5% (statistically significant) YAY!!! Unfortunately, after few checks I ...
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1answer
203 views

AB test sample size calculation by hand

Evan Miller has created a well-known online AB test sample size calculator. For the sake of being able to program and modify this formula, I would like to know how to calculate sample size Evan Miller-...
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1answer
23 views

A\B Testing with Sorting

In my company while splitting site users for AB test we do the following: we choose parameters that seem the most important for us (for example: gender, life time value, average check, etc), if they ...
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1answer
24 views

how to present results for two group success rate with confidence interval

I have two groups A and B, and for each data point I have two possible outcomes, success and failures. For each group, I have calculated the success rate, and the confidence interval for a binomial ...
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4 views

Statistics of Diff in diff with optimal group

I am trying to run a diff in diff to measure the impact of a feature. I want to run the experiment per geo region and I have 90 regions. To run a proper diff in diff I should split in have the ...
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0answers
14 views

Conversion/Revenue Attribution in AB experiments

I have a question on A/B testing attribution. I have a test running on mobile app and website at the same time. Unfortunately the way the test is designed ...
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1answer
21 views

In AB test do the sample size calculations represent the minimum or maximum size required for measuring difference between the test and control

A quick question on the frequentest approach of sample size calculation. I recently came across this below note: The sample size required should be strictly enforced; if the power analysis shows ...
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0answers
21 views

A/B test : Is there a way interpreting factor “A” group is greater than factor “B” group?

Plz.. understand my lack of English skills.. T.T I have a problem dealing with statistical hypothesis testing. To be specific, we have two special delivery method like (new) : method "A", (old) : ...
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35 views

Good numbers, but something feels wrong

This is more a qualitative question than a quantitive one. I have done an A B test to try to increase use of a particular feature (feature 1) by increasing discoverability. I measure it by seeing ...
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2answers
267 views

Multi-armed bandit vs AB testing

I'm trying to understand the difference between AB Testing and Multi armed bandit and when we should use one of the other. It seems to me that Multi-armed bandit algorithms are statistically valid and ...
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3answers
124 views

Eliminating variation in sample size for A/B tests

Firstly, I'll apologise for my limited understanding on this topic. Let's say I am running an A/B test with a pool of 20,000 prospects and I split them 50/50 into A and B. The problem is, the ...
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0answers
272 views

What statistical test is best to compare ratios within each groups

I am doing a a/b test. I am interested in finding difference in ratio of revenue after the campaign vs before for both the groups. Both groups are random split from same population subjected to two ...
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0answers
43 views

Possible questions on testing on hypothesis in A/B testing for a position of a data scientist (EDITED)

What are some possible machine learning and statistics questions on the subject of A/B testing for a position of a data scientist in Ad Tech industry working in retargeting? I'm interviewing for such ...
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1answer
25 views

MVT/ABn pricing test comparison

I have results for a a 5 variant pricing test: A 0% (control group) B +5% C -5% D +10% E -10% Below are my results (all normalised to give if exactly 20% of traffic goes through the variant, ...
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1answer
25 views

Which of these scenarios are multiple or repeated comparisons?

I believed I knew what multiple comparison or repeated testing meant but upon reading more on the subject and listening to others I have become more confused. My confusion started with A/B testing ...
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0answers
31 views

What would be a good sampler from pymc3 for highly skewed data

I have a gamma distributed data which is highly skewed - alpha=0.15, beta=0.001. I would like to perform mcmc to find the delta between two gamma distributions. I get the following error: I suspect ...
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1answer
36 views

P-value and confidence interval in MVT testing

Context: website A/B testing When calculating P-value and confidence intervals for each variation in an experiment with more than 2 variations (control, variation 1, variation 2 ...) should there be ...
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0answers
121 views

Sampling A/B test results (revenue per visitor vectors)

I have two vectors of the control version A and test version B. These vectors contain revenues by visitor. So A version has 3020 visitors who didn't purchase and B respectively 2811. Revenue data ...
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1answer
61 views

Do I need to discard 90% of experiments so that the sample is independent?

I'm reading OpenIntro Statistics by David Diez and he says that for running an inference on a one sample mean we need to validate that the observations are independent: I'm running an A/B test and I ...
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1answer
50 views

Non-inferiority margin and minimum detectable effect vs sample size

I am trying to understand why testing for non-inferiority requires pretty much the same sample size as testing for superiority (I assume the latter is the same as a one-sided test for a given MDE). I ...
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1answer
56 views

A/B testing parity (A=B)

I can't find any information on how to run an A/B test that shows that the new implementation B is likely at least as good as A. My metric is visitor conversion so I could use a test of proportions ...
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0answers
172 views

Understanding interim analysis and alpha spending functions

I have to perform an A/B test with interim analysis and found some literature about methods designed to preserve the global Type I error rate by adjusting the $\alpha$ level for each peeking. ...
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1answer
45 views

Confidence boundaries for an AB test [closed]

Given an AB-test, I have two variants running over a certain timeperiod gathering data. I split the time period up in smaller frames and cumulative add the population for the given variant as well as ...
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2answers
30 views

experiment with 3 arms: analyzing results when one of 3 pairwise tests shows significance

I have an experiment with 3 groups: group 1 got no email group 2 got an email with 10 dollars incentive group 3 got an email with 20 dollars incentive to convert to a specific product. Conversion ...
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1answer
54 views

How do I measure impact of an intervention of time series without historical data of the same series?

I'm trying to evaluate the impact of an intervention in the most statistically accurate way possible but I'm having a hard time figuring out a way measure incremental growth along with statistical ...
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0answers
4k views

Assessing A/B test results using Python

Problem's setting Assume having results of an A/B test. You let you users experience two variants of your website and you counted how many converted: ...