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Genre/Form: | Internet videos |
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Material Type: | Clipart/images/graphics, Internet resource, Videorecording |
Document Type: | Internet Resource, Computer File, Visual material |
All Authors / Contributors: | Infobase,; PBS (Firm) |
OCLC Number: | 1083891717 |
Language Note: | Closed-captioned. |
Notes: | Originally released by PBS, 2018. Streaming video file encoded with permission for digital streaming by Infobase on January 29, 2019. |
Target Audience: | 9 - 12, Academic/AP |
Description: | 1 online resource (1 video file (52 min., 56 sec)) : sound, color. |
Contents: | Power of Prediction (5:03); History of Predictions (2:15); Chance and Percentage (4:09); History of Probability Theory (3:10); Weather Prediction (6:34); Making Accurate Predictions (6:11); 2016 Presidential Election (4:29); Possible Polling Errors (5:08); Baseball Statistics (3:12); Search and Rescue (6:28); Artificial Intelligence (5:19); Credits; Prediction by the Number (0:46); |
Responsibility: | PBS. |
Abstract:
Predictions underlie nearly every aspect of our lives, from sports, politics, and medical decisions to the morning commute. With the explosion of digital technology, the internet, and “big data,” the science of forecasting is flourishing. But why do some predictions succeed spectacularly while others fail abysmally? And how can we find meaningful patterns amidst chaos and uncertainty? From the glitz of casinos and TV game shows to the life-and-death stakes of storm forecasts and the flaws of opinion polls that can swing an election, Prediction by the Numbers explores stories of statistics in action. Yet advances in machine learning and big data models that increasingly rule our lives are also posing big, disturbing questions. How much should we trust predictions made by algorithms when we don’t understand how they arrive at them? And how far ahead can we really forecast?
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Related Subjects:(8)
- Mathematics.
- Probabilities.
- Probability learning.
- Statistics.
- Mathematics
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- Probability learning
- Statistics