Fundamentals of Statistics (5th Edition)
Fundamentals of Statistics (5th Edition)
5th Edition
ISBN: 9780134508306
Author: Michael Sullivan III
Publisher: PEARSON
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Chapter B.4, Problem 5AYU

Voice-Recognition Systems Have you ever been frustrated by computer telephone systems that do not understand your voice commands? Quite a bit of effort goes into designing these systems to minimize voice-recognition errors. Researchers at the Oregon Graduate Institute of Science and Technology developed a new method of voice recognition (called a remapped network) that was thought to be an improvement over an existing neural network. The data shown in the next column are based on results of their research. Does the evidence suggest that the remapped network has a different proportion of errors than the neural network? Use the α = 0.05 level of significance.

Chapter B.4, Problem 5AYU, Voice-Recognition Systems Have you ever been frustrated by computer telephone systems that do not

Source: Wei, Wei, Leen, Todd, Barnard, and Etienne, “A Fast Histogram-Based Postprocessor That Improves Posterior Probability Estimates.” Neural Computation 11:1235–1248.

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Not using excel.   One possible explanation for why some bird’s migration and others maintain year-round residency in a single location is intelligence. Specifically, birds with small brains, relative to their body size, are simply not smart enough to find food during the winter and must migrate to warmer climates where food is easily available (Sol, Lefebvre, & Rodriguez- Teijeiro, 2015). Birds with bigger brain on the other hand, are more creative and can find food even when the weather turns harsh. Following are hypothetical data similar to the actual research results. The numbers represent relative brain size for the individual birds in each sample. Non-Migrating Short Distance Migrates Long Distance Migrates   18 6 4   13 11 9 N= 18 19 7 5 G= 180 12 9 6 x²= 2150 16 8 5   12 13 7           M= 15 M= 9 M= 6   T= 90 T= 54 T= 36   SS= 48 SS= 34 SS= 16   a) Use an ANOVA…
If the Cumulative Gain at a depth of 15% for the Neural Network model is converted to number of primary/positive event cases, what will be the number of cases? Show your calculation.
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