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Think stats : exploratory data analysis in Python / Allen B. Downey.
- Format:
- Book
- Author/Creator:
- Downey, Allen, author.
- Series:
- Open Textbook Library.
- Open textbook library.
- Language:
- English
- Subjects (All):
- Statistics--Computer programs.
- Statistics.
- Statistics--Study and teaching.
- Quantitative research--Programmed instruction.
- Quantitative research.
- Python (Computer program language).
- Genre:
- Programmed instructional materials.
- Physical Description:
- 1 online resource : illustrations.
- Updated irregularly.
- Distribution:
- Minneapolis : Open Textbook Library.
- Other Title:
- Title from Open Textbook Library website: Think stats : probability and statistics for programmers
- Place of Publication:
- Needham : Green Tea Press, 2014-
- System Details:
- Mode of access: World Wide Web.
- text file
- Summary:
- "Think Stats is an introduction to Probability and Statistics for Python programmers. Think Stats emphasizes simple techniques you can use to explore real data sets and answer interesting questions. The book presents a case study using data from the National Institutes of Health. Readers are encouraged to work on a project with real datasets. If you have basic skills in Python, you can use them to learn concepts in probability and statistics. Think Stats is based on a Python library for probability distributions (PMFs and CDFs). Many of the exercises use short programs to run experiments and help readers develop understanding."--Open Textbook Library.
- Contents:
- Exploratory data analysis
- Distributions
- Probability mass functions
- Cumulative distribution functions
- Modeling distributions
- Probability density functions
- Relationships between variables
- Estimation
- Hypothesis testing
- Linear least squares
- Regression
- Time series analysis
- Survival analysis
- Analytic methods.
- Notes:
- Includes bibliographical references and index.
- This bibliographic record is available under the Creative Commons CC0 "No Rights Reserved" license.
- Description based on online version, second edition, version 2.0.30; Title from PDF (viewed on July 27, 2016)
- ISBN:
- 9781491907337
- OCLC:
- 954074587
- Access Restriction:
- Open Access Unrestricted online access
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