IGCSE Business Experiment Operation Guide | IGCSE 商务：实验操作指南

📚 IGCSE Business Experiment Operation Guide | IGCSE 商务：实验操作指南

In IGCSE Business, primary research is essential for making informed decisions. Among various research methods, business experiments offer a systematic way to test cause-and-effect relationships, such as how a price change might affect sales or whether a new packaging design attracts more customers. This guide provides a step-by-step approach to planning, conducting and evaluating a simple business experiment, helping you develop both practical research skills and a deeper understanding of market behaviour.

在 IGCSE 商务课程中，一手调研是做决策的重要基础。在各种研究方法中，商业实验提供了一种系统的方式来检验因果关系，比如价格变动会如何影响销量，或者新包装设计能否吸引更多顾客。本指南将逐步介绍如何规划、实施和评估一个简单的商业实验，帮助你培养实用的研究技能，并加深对市场行为的理解。

1. What Is a Business Experiment? | 什么是商业实验？

A business experiment is a research method in which one or more factors (called variables) are deliberately changed to observe the effect on another factor, while keeping all other conditions the same. For example, a café might experiment by playing different types of background music to see whether the tempo influences how long customers stay. In an IGCSE context, you might test a hypothesis such as ‘Offering a free sample increases the chance that a customer will purchase a product’.

商业实验是一种研究方法，通过有意识地改变一个或多个因素（称为变量）来观察对另一个因素产生的影响，同时保持其他所有条件不变。例如，一家咖啡馆可以尝试播放不同类型的背景音乐，观察节奏快慢是否会影响顾客停留的时间。在 IGCSE 的背景下，你可以检验一个假设，比如“提供免费试用会增加顾客购买产品的可能性”。

2. Why Use Experiments? | 为什么采用实验方法？

Experiments allow you to establish cause-and-effect links with greater confidence than surveys or observation alone. They produce primary data that is specific to your research question and can be replicated to check reliability. For a business, experimenting with small changes before a full roll-out reduces risk and can save money. From a learner’s perspective, designing and carrying out an experiment builds analytical thinking and practical data-handling skills.

与单纯的问卷调查或观察相比，实验能让你更有把握地建立因果关系。它所产生的一手数据专门针对你的研究问题，并且可以重复实验来检验可靠性。对一家企业来说，在全面推广前先进行小范围试验能降低风险、节省成本。从学习者角度而言，设计并实施实验能培养分析思维和实际的数据处理能力。

3. Formulating a Hypothesis | 提出假设

A hypothesis is a clear, testable prediction of what you expect to happen. It is usually written as an ‘if…then…’ statement or a comparative prediction. For example: ‘If the product is displayed at eye level, then sales will be higher than when it is on the bottom shelf.’ The hypothesis must mention the independent variable (the factor you change) and the dependent variable (the factor you measure). Keep it simple and measurable.

假设是一种清晰、可检验的预测，说明你预期会发生什么。它通常写成“如果……那么……”的陈述句或比较性预测。例如：“如果产品放置在视线平齐的高度，那么其销量将高于放在底层货架时的销量。”假设必须提及自变量（你改变的因素）和因变量（你测量的因素）。要让假设简洁且可测量。

4. Selecting Variables | 选择变量

The independent variable is the one you deliberately alter – for example, the size of a discount coupon (10%, 20%, 30%). The dependent variable is the outcome you measure – perhaps the number of customers who redeem the coupon. Controlled variables are everything else that must be kept constant: the location, time of day, advertising medium, staff behaviour, and so on. Identifying and tightly controlling these variables is the key to a valid experiment.

自变量是你有意改变的那个因素，比如优惠券的折扣力度（10%、20%、30%）。因变量是你测量的结果，可能是使用优惠券的顾客人数。控制变量则是必须保持不变的其余所有因素：地点、时段、推广媒介、员工行为等。识别这些变量并对其严加控制，是确保实验有效的关键。

5. Designing the Experiment | 设计实验

There are two common designs for a simple experiment: the ‘before and after’ design, where you compare results from a single group before and after a change; and the ‘control group’ design, where one group receives the change (experimental group) and another does not (control group). The control group design is more robust because it minimises the influence of external factors. For instance, you could set up a stall selling lemonade where one stand uses a hand‑written sign (control) and the other uses a professionally printed sign (experimental), tracking sales over the same two‑hour period.

简单的实验有两种常见设计：“前后对比”设计，即比较同一组在变化前后的结果；以及“控制组”设计，即一组接受变化（实验组），另一组不接受变化（控制组）。控制组设计更为可靠，因为它能最大程度地降低外部因素的干扰。举例来说，你可以设置两个卖柠檬水的小摊，一个使用手写招牌（控制组），另一个使用专业印刷的招牌（实验组），在相同的两小时内追踪各自的销量。

6. Selecting the Sample | 选取样本

Your sample is the group of people or units on which you conduct the experiment. For an IGCSE experiment, you might work with customers in a school canteen, visitors to a charity shop, or people passing a specific spot. The sample should be large enough to detect a meaningful result, but small enough to be manageable. Whenever possible, use random allocation to put participants into the experimental and control groups – this reduces bias and makes the comparison fairer.

样本就是你开展实验的那组人群或单位。在 IGCSE 实验中，你可以选择学校食堂的顾客、慈善商店的访客或者经过某个地点的人群等。样本要足够大，以便捕捉有意义的结果，但也要小到便于操作。只要条件允许，就应使用随机分配的方法将参与者分入实验组和控制组——这能减少偏差，使比较结果更加公允。

7. Running the Experiment and Collecting Data | 实施实验与收集数据

Conduct your experiment in a controlled environment. Follow your plan exactly: apply the independent variable only to the experimental group, keep controlled variables constant, and record the dependent variable accurately. Data can be collected through tallies, counts, timing, or a brief questionnaire. For example, you could count how many customers choose the experimental display versus the control display during set time slots. Always note any unexpected events (e.g. rain, a competing promotion) as they may affect results.

在受控的环境中开展实验。严格遵循你的计划：只对实验组施加自变量，保持控制变量不变，并准确记录因变量。数据可以通过划正字、计数、计时或简短问卷等方式采集。例如，你可以统计在设定时段内有多少顾客选择了实验展示台，又有多少选择了对照展示台。要随时记录任何意外事件（如下雨、竞争对手的促销），因为它们可能会影响实验结果。

8. Analysing Results | 分析结果

Start by calculating totals and percentages. If the experimental group had 65 purchases out of 100 visitors, that is 65%, while the control group had 45 out of 100 – a 20‑percentage‑point difference. Draw a simple table or bar chart to visualise the data. Then ask: Does the difference support your hypothesis? Are there any anomalies? For a more thorough analysis, calculate the average (mean) if you have multiple trials. Avoid overclaiming; small differences may be due to chance.

先计算总数和百分比。假如实验组 100 名来访者中有 65 人购买了商品，即 65%；控制组 100 人中有 45 人购买——两者相差 20 个百分点。可以画出简单的表格或条形图来将数据可视化。然后问自己：这一差异是否支持你的假设？有没有异常数据？如果想分析得更深入，可以在多次试验后计算平均值。避免过度断言，微小的差异可能只是由偶然因素造成的。

Percentage difference = (Experimental % – Control %) = (65% – 45%) = +20 percentage points

百分点差 = 实验组百分比 – 控制组百分比 = 65% – 45% = +20 个百分点

9. Drawing Conclusions and Writing Up | 得出结论并撰写报告

Your conclusion must directly refer to the hypothesis. State whether the evidence supports or refutes it, and explain why. Then discuss the reliability of your findings: Was the sample large enough? Were variables truly controlled? Suggest improvements for future experiments. The write‑up should include: an introduction, hypothesis, method, results (with tables/graphs), analysis, conclusion, and an evaluation that reflects on limitations and ethical considerations.

你的结论必须直接回应假设。说明证据是支持还是否定了假设，并解释原因。接着讨论研究发现的可靠性：样本量足够大吗？变量是否真的得到了控制？提出能在未来实验中改进的建议。实验报告应包含以下部分：引言、假设、方法、结果（含表格/图表）、分析、结论，以及反思局限性与伦理问题的评估。

10. Limitations and Ethics | 局限性与伦理

Field experiments are messy: you cannot control everything, and the results may not generalise to other settings (low external validity). There can also be ethical concerns – for example, if participants are unaware they are being observed, or if an experiment involves differential pricing that could be seen as unfair. Always obtain consent where appropriate, keep data anonymous, and do not mislead people. In a school‑based experiment, work under teacher supervision and respect the dignity of your participants.

实地实验并不完美：你无法控制所有因素，其结果可能无法推广到其他情境（外部效度低）。也可能存在伦理问题——例如，参与者不知道自己在被观察，或者实验涉及差别定价，这可能被认为不公平。要在适当情况下取得同意，让数据保持匿名，并且不误导他人。在学校开展的实验中，要在老师指导下工作，并尊重参与者的尊严。

Published by TutorHao | Business Revision Series | aleveler.com

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