Checking Causality for Market Research

Description

Checking Causality 

Instructions: Carefully read the following scenario and prediction, and use the criteria for causality discussed in class to determine if the prediction is causal. (Please make sure not to use AI tools, and use the notes and examples I’m going to provide to complete this assignment).

Scenario: A cosmetic company introduces a new advertising campaign on social media, expecting it to lead to increased online sales.

Prediction: The new social media advertising campaign will result in a boost in online sales.

Data Collection: The company collected the following data to test the prediction above, and found that in January, when there was no advertising campaign, online sales were $250,000. In February, after the campaign was launched, online sales increased to $500,000. Also, the company had another special promotion in February during Valentine’s Day.

MonthAdvertising Campaign Online Sales JanNo advertising$250,000FebNew campaign launched$500,000

  • Task: Based solely on the provided description (do not refer to your own assumptions, observations, or experiences), determine if causality exists in the prediction. Ensure you thoroughly discuss each criterion and provide a well-reasoned conclusion based on the data and the three steps for causality discussed in class.

Deliverable: Create a document that is 1 to 1.5 pages long, double-spaced, with 1-inch margins, using Times New Roman font size 12.

  • AI Tool Usage Policy

Strict Prohibition: The use of AI tools, including but not limited to ChatGPT, is unequivocally prohibited for all assessment activities outlined in this course.

  • Detecting Unauthorized AI Use: As part of our commitment to maintaining academic integrity, certain assessment activities will include questions deliberately engineered by AI to yield incorrect answers. These AI-infused questions serve as litmus tests to identify any unauthorized use of AI tools. Engaging in suspicious behavior, such as submitting an answer mirroring an incorrect AI-generated response, will trigger a comprehensive investigation for potential plagiarism.

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