Interpret mixed results across segments from an experiment

Last updated: November 20, 2025

Quick Overview

An experiment shows conflicting results. What conclusions can you draw? What are the caveats?

Splunk
Statistics & Math
Data Scientist
Splunk
November 20, 2025
Data Scientist
Technical Screen
Statistics & Math
Hard

40

5

969 solved


An experiment shows conflicting results. What conclusions can you draw? What are the caveats?

This statistics question from Splunk's Technical Screen tests your ability to apply mathematical reasoning to practical problems. The interviewer expects precise definitions, correct methodology, and awareness of assumptions and limitations.

What the Interviewer Expects
  • Derive results from first principles when needed
  • Handle complex scenarios with multiple interacting variables
  • Design experiments that account for real-world complications
  • Discuss advanced topics: Bayesian methods, causal inference, resampling
  • Connect statistical concepts to business decision-making
  • Identify subtle errors in reasoning (Simpson's paradox, survivorship bias)
Key Topics to Cover
Power analysis and sample size calculation
Regression analysis
Probability distributions
Hypothesis testing (H0, H1, p-values)
How to Approach This
  1. Define your hypotheses (H0 and H1) clearly before performing any test.
  2. Calculate required sample size BEFORE running an experiment, using power analysis.
  3. Remember the Central Limit Theorem: sample means become approximately normal with large n.
  4. Watch for Simpson's paradox. Always segment data by key dimensions.
  5. Distinguish between statistical significance and practical significance.
Possible Follow-up Questions
  • How would you design a follow-up experiment based on these results?
  • What alternative statistical method could you use here?
  • How would you handle multiple comparisons?
  • What if the sample size is very small?
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Sample Answer
Problem Formulation

In this problem, we are analyzing the results of an experiment conducted by Splunk across multiple segments. The experiment yields mixed results, meaning that different segments show conflicting outco...

Solution Approach

To analyze the mixed results, we will follow these steps:

  1. Data Collection: Gather data from each segment, ensuring that we have enough samples to achieve statistical power.
  2. **Descriptive St...

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