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DA0-002 Data Analysis Practice Question

A company is planning an A/B test to compare two website designs. Which THREE of the following must be determined before the test begins to ensure valid results? (Select three.)

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

The desired effect size

Sample size (based on power and effect size), significance level (α), and desired effect size are all pre-specified to design the test. The p-value is an outcome, not a pre-test parameter. The hypothesis is defined beforehand, but which one is false? Actually null and alternative hypotheses should be pre-specified, but the phrasing 'which one is true' is not determined before; the test determines that. So correct are: determine minimum sample size, determine significance level, and determine desired effect size.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • The desired effect size

    Why this is correct

    Helps determine sample size.

  • The p-value of the test

    Why it's wrong here

    p-value is calculated after collecting data.

  • Which hypothesis is true

    Why it's wrong here

    The test determines that, not pre-specified.

  • The minimum sample size required

    Why this is correct

    Needed to ensure adequate statistical power.

  • The significance level (α)

    Why this is correct

    Must be set before, typically 0.05.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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