Which elements should a test hypothesis include? (Select two.)

Question

Options

• AMeasurable outcomes
• BBudget allocation
• CData analysis tools
• DTest objective assumptions

• A
  80% (32)
• B
  13% (5)
• C
  8% (3)

Explanation

A well-formed test hypothesis must define what you expect to happen (measurable outcomes) and what you believe to be true going in (objective assumptions) - together these make the hypothesis falsifiable and testable. Option A is correct because without measurable outcomes, there's no way to determine whether the test passed or failed. Option D is correct because documenting the assumptions behind the test objective clarifies the conditions under which the hypothesis holds, making it reproducible and auditable.

B (Budget allocation) is wrong because budget is a project planning concern, not a component of a hypothesis - you can write a hypothesis with zero knowledge of cost. C (Data analysis tools) is wrong because tools are implementation details chosen after the hypothesis is formed; they describe how you'll analyze results, not what the hypothesis claims.

Memory tip: Think of the acronym "MAO" - a hypothesis needs a Measurable outcome and an Assumption about the Objective. If it can't be measured and its assumptions aren't stated, it's not a hypothesis - it's a guess.

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