2 edition of Community level statistics found in the catalog.
Community level statistics
Elijah S. K. Muwanga-Zake
|Statement||by E.S.K. Muwanga-Zake (Institute of Statistics and Applied Economics, Makerere University).|
|Contributions||Institute of Statistics and Applied Economics (Uganda)|
|LC Classifications||HN794.Z9 C659 1989|
|The Physical Object|
|Pagination||41 leaves ;|
|Number of Pages||41|
|LC Control Number||95982553|
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Statistics A-Level revision section covering: Histograms and Cumulative Frequency, Averages, Measures of Dispersion, Box and Whisker Diagrams, Probability, Linear Regression, Skewness, Product Moment Correlation Coefficient, Discrete Random Variables, Expectation and Variance, Discrete Uniform Distribution, Normal Distribution, Binomial Distribution, Poisson Distribution, Continuous Random. This book and subsequent books for Statistics 3 and 4 are much easier to follow than their predecessor for Statistics 1. I attribute this to the curriculum for 2, 3 and 4 being based around statistical distributions and not so much probability theory (which defies logic). There are plenty of exercises to complete, with answers in the back and Reviews: 9.
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Here is a favoring review the book received in JASA. pages. Download link (approx. 40 mbyte). Cambridge O Level Statistics Coursebook Second Edition.
Endorsed by Cambridge Resources align to the syllabus they support, and have been through a detailed quality assurance process. Description: Supports the full syllabus for examination from Simple Statistics: A Course Book.
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The definition of what is meant by statistics and statistical analysis has changed considerably over the last few decades. Here are two contrasting definitions of what statistics is, from eminent professors in the field, some 60+ years apart: "Statistics is the branch of scientific method which deals with the data obtained by counting or.
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We do not claim to provide a comprehensive summary of statistics but rather hope to develop a sufﬁcient understanding and vocabulary to enable clinicians to appraise and interpret the statistics most commonly used in research papers and.
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