Statistics
What do you think are the main reasons behind the noticeable disparity between the two groups in an A/B test?
Data Scientist
Asana
Panasonic
Salesforce
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- What do you think are the main reasons behind the noticeable disparity between the two groups in an A/B test?
- From your experience, what are some of the factors that can account for a significant difference in the A/B test results?
- What are some probable explanations for the contrasting outcomes between the two groups in an A/B test?
- How do you account for the variation between the two groups in an A/B test?
- Could you elaborate on some of the reasons that could be responsible for the discrepancy between the control and variant groups in an A/B test?
- What are some possible factors that contribute to the variation observed between the two groups in an A/B experiment?
- What do you think could be the reasons for the difference in conversion rates between the two groups in an A/B test?
- In your view, what do you think might have caused the noticeable difference in performance between the control and variant groups in an A/B test?
- Can you describe some of the factors that might have led to the disparity in outcomes between the two groups in an A/B test?
- Can you explain some of the factors that might contribute to the observed difference between the control and variant groups in an A/B test?
- When you split a population for A/B testing, what are some reasons you could see a significant difference in the control and variant groups?
- How might unexpected variables in the A/B test impact the results between the control and variant groups?
- How might demographic differences between the control and variant groups affect the overall outcomes of an A/B test?
- What are some common variables that can influence the outcomes of a split population test?
- Are there any external or internal factors that could skew the results of an A/B test between the control and variant groups?
- In what ways might the test environment itself influence the results of the control and variant groups?
- How might differences in sample size impact the outcomes of the A/B test between the control and variant groups?
- What are some potential flaws in the design of an A/B test that could cause significant differences between the control and variant groups?
- What safeguards can you put in place to minimize the impact of random variables that could influence the results of the control and variant groups in an A/B test?
- What are some potential factors that might cause the control and variant groups to show statistically significant variations?
Interview question asked to Data Scientists interviewing at Salesforce, NerdWallet, GitLab and others: What do you think are the main reasons behind the noticeable disparity between the two groups in an A/B test?.