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Discrete and Continuous Probability Distributions: A Creative Comparison (Version 2)
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HKD 236
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This creative introduction to discrete and continuous distributions personifies statistical concepts, making them relatable and easier to understand.
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產品詳情
- This book is a creative introduction to discrete and continuous distributions. To help students identify distributions and to apply appropriate equations, a set of discrete and continuous distributions are personified with a set of college professors, who stay overtime in their classes, according to a particular distribution. Statistics, for each professor, are calculated and compared. It is assumed that the reader has completed courses in differential and integral calculus.
| Publisher | Independently published |
| Publication date | December 27, 2019 |
| Language | English |
| Print length | 64 pages |
| ISBN-10 | 1651501513 |
| ISBN-13 | 978-1651501511 |
| Item Weight | 6.2 ounces (175.77 grams) |
| Dimensions | 8.5 x 0.15 x 11 inches (21.6 x 0.4 x 27.9 cm) |
Who Should Buy?
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Students and Learners
Ideal for students studying statistics who need a clear comparison between discrete and continuous distributions.
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Data Analysts
Data analysts looking to enhance their understanding of probability distributions will find valuable insights in this product.
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Educators and Trainers
Educators teaching probability can effectively use this creative comparison to illustrate key concepts for their students.
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Advanced Statisticians
Professionals with a deep understanding of probability may find the content too basic for their advanced needs.
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Probability & Statistics Editorial Review
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優點
- Engaging comparison of concepts
- Clear explanations and examples
- Helpful for students and teachers
- Creative approach to learning
缺點
- Some sections could be more detailed.
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HKD 236
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特色和優勢
- Creative approach to teaching probability distributions.
- Personified college professors represent different distributions.
- Helps students identify and apply appropriate equations.
- Statistical comparisons enhance understanding.
- Recommended for those with calculus background.
- Engaging method to grasp complex statistical concepts.
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