# What are the z-tests and t-tests? Aced (formerly Exponent) publishes a public search API over its indexed pages; the guide is at https://www.aced.io/agents/agent-access. Source: https://www.aced.io/questions/5361/z-and-t-tests Source observed: 2026-11-04T22:02:52.297Z Last checked: 2026-11-04T22:02:52.297+00:00 Indexed: 2026-11-05T06:48:13.351+00:00 --- # What are the z-tests and t-tests? We host this interview-preparation question in our Questions library. The question is categorized under **Statistics & Experimentation** and is associated with **Data Scientist** and **Product Manager** roles, as well as Google, Etsy, and Solenis interview experiences. ## Question **What are the Z and t-tests?** The page includes separate **Question**, **Solution**, and **Community** tabs. The solution is locked, and the community currently has **0** contributions. Members can select **I was asked this**, save the question, or upgrade for access to detailed company statistics: [Upgrade](https://www.aced.io/upgrade?src=questions) ## Interview experiences **3 shared** experiences are associated with this question. The page labels the collection **Statistics & Experimentation** and shows that it was last asked **a year ago**. ### Google — a year ago [Read the Google interview experience](https://www.aced.io/experiences/google-senior-data-scientist-interview-190f70) **Data Scientist · Senior / L5** > I had already been referred and was already in touch with a recruiter (for a previous interview process), so the first loop moved unusually smoothly and I even got to skip the technical screen there. The product loop was more standard: recruiter, a technical screen with SQL plus schema design, then a three-round onsite covering stats/modeling, experimentation/applied analysis, and Googliness. The tricky part is the two analytical onsite rounds overlap a lot, but the stats side was more trivia and mechanics than I expected, while the experimentation side stayed pretty close to standard A/B testing frameworks with a little causal inference mixed in. Overall, the interviewers came off very friendly and conversational, and I finished my last onsite in mid-December. ### Etsy — 2 years ago [Read the Etsy interview experience](https://www.aced.io/experiences/etsy-data-scientist-interview-72ce5a) **Data Scientist** > It was a good experience but I was able to find something else so I'm glad it didn't work out. The recruiter was nice but the hiring manager seemed a bit distracted and in the end it wasn't a good fit. ### Solenis — 2 years ago [Read the Solenis interview experience](https://www.aced.io/experiences/solenis-product-manager-interview-5f1383) **Product Manager · Mid Level / L4** > The process was well-structured, starting with a recruiter screen followed by a deep dive with the hiring manager and a final "super day" involving cross-functional stakeholders (Engineering, Sales, and Supply Chain). What went well was the alignment on product vision; I was able to demonstrate how my technical background helps bridge the gap between complex chemical solutions and digital customer tools. What didn’t go well was the initial technical case study—it was more data-heavy than I anticipated, requiring a very quick pivot to explain how I’d prioritize features under tight regulatory constraints. ## Related questions - [What are the drivers of an LBO?](https://www.aced.io/questions/6982/explain-drivers-leveraged-buyout) - [What are the 3 pillars of OOP?](https://www.aced.io/questions/7323/define-pillars-object-oriented-programming) - [What are the common pitfalls of A/B testing?](https://www.aced.io/questions/5358/common-pitfalls-of-a-b-testing) ## Related courses ### [Data Science Interview Prep](https://www.aced.io/courses/data-science) ![Data Science Interview Prep](https://images.ctfassets.net/x78yjrjc11pq/3U4C5C0OkDR0UeGch4AmlE/7ad489430b676a088cb973307fe77884/Data_Science_Interview_Prep_Course.jpeg?w=800&h=800&fm=webp&q=75) We help candidates prepare for data science roles at Google, Amazon, Microsoft, Meta, Apple, and other top companies. The course includes mock interviews, frameworks, advice from senior candidates, and practice in statistics, experimentation, coding, SQL, machine learning, and behavioral interviews. ### [SQL Interviews](https://www.aced.io/courses/sql-interviews) ![SQL Interviews](https://images.ctfassets.net/x78yjrjc11pq/62mN54S54HpLIOmyG8qbnq/54deaf5e397d0807d71c0e27e21e5ee3/sql_illustration_2.jpg?w=800&h=800&fm=webp&q=75) We help candidates prepare for SQL interviews by practicing syntax basics, aggregations, and window functions. Candidates learn to manipulate data, write complex queries, and analyze information from diverse datasets. ## Page actions Submitting an answer marks this question complete. 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