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Imagine you are a member of the hiring committee at a mid-sized company that is looking to hire a new Junior Analyst. The company cares a lot about the true underlying quality of the person they hire—things like analytical skills, communication, reliability, and general problem-solving ability.
Historically, it is known that for candidates who apply for this job, the true quality is normally distributed with mean {{ mu }} and standard deviation {{ sigma }}.
Imagine you are a member of the hiring committee at a mid-sized company that is looking to hire a new Junior Analyst. The company cares a lot about the true underlying quality of the person they hire—things like analytical skills, communication, reliability, and general problem-solving ability.
Historically, it is known for the candidates who apply for this job, the true quality is normally distributed with mean {{ mu }} and standard deviation {{ sigma }}.
Your Goal: Your goal is to hire the candidate with the highest true quality in each round to maximize your bonus payment.
Scores you will see: Since you do not know each candidate's exact true quality, your company has collected THREE different evaluation scores:
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