
Predictive & Prescriptive
Quiz
•
Professional Development
•
Professional Development
•
Practice Problem
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Hard
Keith Derr
Used 1+ times
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8 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main goal of predictive analytics in sports?
To suggest the best course of action
To forecast future outcomes based on data
To track historical performance
To replace coaches with AI
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In the CRISP-DM model, which phase involves understanding the problem before working with data?
Data Understanding
Business Understanding
Data Preparation
Modeling
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is NOT a common use case for predictive analytics in sports?
Player performance forecasting
Injury risk modeling
Game strategy recommendations
Win probability estimation
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does prescriptive analytics differ from predictive analytics?
It forecasts future events
It provides actionable recommendations based on predictions
It only uses past data without making forecasts
It does not involve machine learning
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is an example of prescriptive analytics in sports?
Predicting the likelihood of an athlete’s injury
Suggesting whether an NBA coach should rest a player
Estimating the win probability of a football team
Calculating an athlete’s historical performance trends
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In CRISP-DM, what step comes after “Data Preparation”?
Business Understanding
Modeling
Deployment
Evaluation
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which technology is commonly used for predictive modeling in sports analytics?
Excel
Python (Scikit-learn, TensorFlow)
Microsoft Word
Google Docs
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