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MBA FPX 5008 Assessment 1 interprets graphical data from a composition/report about Shark Tank deals, how numerous offers were made, which were closed, and post-show issues. It focuses on reading maps and tables, recapitulating crucial findings (e.g., deal check rates and survival of unrestricted deals), and explaining investor-position differences.
What’s Included:
Shark Tank is a program where entrepreneurs pitch their ideas, and investors, also known as “sharks,” offer deals. Of the 237 deals that have been made on the show, 57% of them were actually closed and 43% of them were not. Of the 134 deals that were closed, 95% of the companies are still in operation, 4% of the companies have shut down, and 1% have been sold.
All the deals of each shark differed in status and success. Mark Cuban closed 32 deals, Daymond John closed 27, Kevin O’Leary closed 14, Barbara Corcoran closed 28, Lori Greiner closed 35, and Robert Herjavec closed 24 deals. The number of deals that held, were modified, or fell apart also differed for each investor. The below table summarizes the deals made by each shark, those that remained the same, those that were modified, and those that ultimately broke down.
Being on Shark Tank has worked out for the majority of entrepreneurs. A survey revealed that 73% of the contestants enjoyed the experience despite the fact that a deal was not finalized. Entrepreneurs primarily gained other advantages, such as exposure and networking, from being on the show.
Most deals offered on Shark Tank don't finalize, but the majority of those that do close remain operating—rivals also gain value from exposure.
Treat each row as that wolf’s deals offered and how many stayed the same, were changed, or fell piecemeal—compare counts directly or convert to probabilities for clarity.
Don’t assume unrestricted deals equal long-term success; corroborate time frames and delineations. Watch for inconsistent summations or unlabeled axes.
Lead with caption stats (summations and probabilities), and show one clear table or bar map for per-wolf issues, as well as a brief interpretation and limitations.
Use this example for learning and structure only. Do not submit as your own work.
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