If the experiment fails to deliver the results the entrepreneur anticipated, the experiment is a failure.

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BlackTom AI · Accepted Answer

Question restatement: The claim is that if an experiment does not deliver the anticipated results, the experiment is a failure. Options are True or False.
Option 1: True. Proponents might argue that an experiment that does not meet expected results is a failure because the original hypothesis wasn’t supported and the anticipated outcome didn’t occur. However, this view is overly simplistic in many contexts, since experiments can provide valuable information, refine hypotheses, or reveal unanticipated phenomena even when the initial predictions don’t pan out. Labeling the entire experiment as a failure overlooks the learning process and potential iterative improvements.
Option 2: False. This option recognizes that the value of an experiment isn’t solely determined by whether it matches the anticipated results. Even when outcomes differ from expectations, they can contribute to knowledge by confirming or falsifying hypotheses, uncovering new variables, or informing future design choices. In entrepreneurship and scientific inquiry, a failed result can validate assumptions, reduce risk, or pivot strategy, which means the experiment wasn’t a total failure in terms of learning or progress.
Distinguishing between outcome and learning: A key misconception behind the True claim is equating result-miss with overall failure. In real-world experimentation, success is often defined by the information gained, the clarity achieved, and the direction provided for subsequent steps, not merely the alignment with initial expectations.
Logical pitfalls in choosing True: It commits to a binary judgment, ignoring nuance and the iterative nature of experimentation, which often involves testing, failure, and refinement. It also ignores the entrepreneur’s goal of learning quickly and adapting, rather than merely achieving a specific predicted result.
Logical pitfalls in choosing False: If one argues False, one must articulate the broader value of any outcome, which requires acknowledging that outcomes can still be valuable even when not as predicted. The key is to emphasize learning value rather than claiming universal success, avoiding overstatement about usefulness.
In summary, the statement True equates failure with lack of value, which is too narrow; the statement False captures that experiments can be valuable even when results don’t match expectations due to the information they generate and subsequent strategic pivots they enable.

Introduction to Entrepreneurship (H) - Syracuse University EEE370 - 3 - Beatty - Preparatory Academy - 1st Semester - 2025/2026 Unit 2: Exam- Requires Respondus LockDown Browser

If the experiment fails to deliver the results the entrepreneur anticipated, the experiment is a failure.

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Introduction to Entrepreneurship​ (H) - Syracuse University EEE370 - 3 - Beatty - Preparatory Academy - 1st Semester - 2025/2026 Unit 2: Exam- Requires Respondus LockDown Browser

If the experiment fails to deliver the results the entrepreneur anticipated, the experiment is a failure.

查看解析

登录即可查看完整答案

类似问题

Which of the following qualities would you say best represent scientific thinking?

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Question1 What is the most important feature of a hypothesis? That it is quantifiable. That it is falsifiable. That it is verifiable. That it is theoretical. ResetMaximum marks: 1 Flag question undefined

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Empirical evidence is based on _____.

更多留学生实用工具

希望你的学习变得更简单

Introduction to Entrepreneurship (H) - Syracuse University EEE370 - 3 - Beatty - Preparatory Academy - 1st Semester - 2025/2026 Unit 2: Exam- Requires Respondus LockDown Browser