Solve and explain the solution to a practical statistical problem
Budget: $25 – $50 USD
Project Title: Solve and explain the solution to a practical statistical problem
Description:
- I am looking for a statistician who can solve and provide an advanced understanding of a practical statistical problem related to probability distribution.
- The project requires an in-depth explanation of the solution, so advanced understanding is necessary.
Company A uses CV review method in candidate selection to estimate future employee dollar output. This method (CV review) has a defined (C1) predictive validity (correlation) to future employee dollar output.
Company B does not use CV review but interviews all the candidates to estimate future employee dollar output. This method (interview) has a known (C2) predictive validity (correlation) to future employee dollar output.
Correlation (C12) between CV review score and interview score on a defined set of candidates is also known.
Question No 1: Company C uses both CV review and candidate interviews (for all the candidates) and uses the combined score (S1+S2) to predict the future employee dollar output.
What is the predictive value (correlation between the method score and the future employee dollar output) of the method used by company C (detailed explanation is required. You can rely on known mathematical theorems)
Question No 2: Company C uses CV reviews but interviews only a selected top percentage (P) of the candidates (all the other candidates are rejected) and uses the combined score (S1+S2) to predict the future employee dollar output.
What is the predictive value (correlation between the method score and the future employee dollar output) of the method used by company D (detailed explanation is required. You can rely on known mathematical theorems)
Description:
- I am looking for a statistician who can solve and provide an advanced understanding of a practical statistical problem related to probability distribution.
- The project requires an in-depth explanation of the solution, so advanced understanding is necessary.
Company A uses CV review method in candidate selection to estimate future employee dollar output. This method (CV review) has a defined (C1) predictive validity (correlation) to future employee dollar output.
Company B does not use CV review but interviews all the candidates to estimate future employee dollar output. This method (interview) has a known (C2) predictive validity (correlation) to future employee dollar output.
Correlation (C12) between CV review score and interview score on a defined set of candidates is also known.
Question No 1: Company C uses both CV review and candidate interviews (for all the candidates) and uses the combined score (S1+S2) to predict the future employee dollar output.
What is the predictive value (correlation between the method score and the future employee dollar output) of the method used by company C (detailed explanation is required. You can rely on known mathematical theorems)
Question No 2: Company C uses CV reviews but interviews only a selected top percentage (P) of the candidates (all the other candidates are rejected) and uses the combined score (S1+S2) to predict the future employee dollar output.
What is the predictive value (correlation between the method score and the future employee dollar output) of the method used by company D (detailed explanation is required. You can rely on known mathematical theorems)