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The Dow Jones Industrial Average (DJIA) tracks the stock performance of how many major U.S. companies?

Generally, a ____ home currency can ____ domestic economic growth.

In the MIT Sloan podcast episode “So, Do Analytics Actually Work?”, the Moneyball example illustrates which key insight about analytics in sports?

P3, a sports performance company, employs a multidisciplinary team of sports scientists, biomechanists, performance coaches, and strength coaches. Each discipline has its own jargon and perspective on data, which initially caused communication challenges. Dr. Marcus Elliott prioritized three strategies to overcome this: aligning the team around a single goal (“to make athletes’ lives better”), limiting technical jargon so everyone can understand the data, and providing ongoing cross-disciplinary education. By creating a shared language, team members could collaborate more effectively, ensure analytics informed actionable decisions, and enhance athlete outcomes. According to Shields in Integrating Analytics in Your Organization: Lessons from the Sports Industry, what is the primary benefit of establishing a common language for analytics within an organization?

Which term describes the process that focuses on analyzing written feedback, such as emails, surveys, chatbots, reviews, forums, and social media posts, to understand fan opinions and improve digital experiences and engagement?

According to Rasmus Ankersen in his TED talk “What Football Analytics can Teach Successful Organizations”, what key discovery about football performance can organizations apply to improve their decision-making?

A popular online gambling influencer has built a following by predicting WNBA player performance based on assumptions about their menstrual cycles. He analyzes stats such as field goal percentage and plus/minus over what he believes to be 24–38-day cycles, despite having no confirmed medical information from the athletes themselves. While he claims his model increases fan engagement, sports medicine experts note the approach is pseudoscientific, invasive, and rooted in sexist assumptions. WNBA advocates warn that such practices can reinforce harmful stereotypes, impact perceptions of women’s athletic performance, and create ethical concerns around privacy and data misuse. What is the primary ethical issue raised by this betting strategy?

After seeing viral clips of blind fans using their hands to follow a soccer match, the founders of OneCourt, Field of Vision, and Touch2See realized there was an untapped market. They used real-time sports tracking data to build tactile devices that let visually impaired fans feel ball movement, receive vibration cues for key plays, and follow games independently. As more leagues adopt advanced tracking systems, these companies see growing demand from stadiums and home viewers. Their success shows how innovators can use data and technology to serve audiences that traditional sports products have overlooked. What does this example best show about using data and technology in sports?

According to the MIT Sloan podcast episode “So, Do Analytics Actually Work?”, what is the primary way analytics contributes to sports?

Right before a UFC bout in Las Vegas, betting-monitoring firm IC360 detected a sharp and unusual shift in wagering patterns: Isaac Dulgarian’s odds suddenly dropped, and a surge of bets came in on his opponent winning in the first round. Dulgarian then lost quickly, triggering an investigation. UFC, which relies on real-time betting analytics to flag suspicious activity, immediately contacted the FBI. The incident follows several high-profile cases across sports in which players faced penalties for manipulating their performance to influence betting outcomes. What does this case most clearly demonstrate about the relationship between sports betting and data analytics?