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“Regression Analysis by Example 5th Edition by Samprit Chatterjee and Ali S. Hadi, ISBN-13: 978-0470905845” has been added to your cart. View cart
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Introductory Statistics 10th Edition by Neil Weiss
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Home Mathematics Introductory Statistics 10th Edition by Neil Weiss, ISBN-13: 978-0135163054
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Introductory Algebra 13th Edition by Marvin Bittinger
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Introductory Statistics 10th Edition by Neil Weiss, ISBN-13: 978-0135163054

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SKU: introductory-statistics-10th-edition-by-neil-weiss-isbn-13-978-0135163054 Category: Mathematics Tags: Introductory Statistics 10th Edition by Neil Weiss, ISBN-10: 0135163056, ISBN-13: 978-0135163054, Neil Weiss
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Introductory Statistics 10th Edition by Neil Weiss, ISBN-13: 978-0135163054

[PDF eBook eTextbook]

  • Publisher: ‎ Pearson; 10th edition (January 1, 2019)
  • Language: ‎ English
  • 848 pages
  • ISBN-10: ‎ 0135163056
  • ISBN-13: ‎ 978-0135163054

Weiss’s Introductory Statistics, Tenth Edition, is the ideal textbook for introductory statistics classes that emphasize statistical reasoning and critical thinking. Comprehensive in its coverage, Weiss’s meticulous style offers careful, detailed explanations to ease the learning process. With more than 1,000 data sets and over 3,000 exercises, this text takes a data-driven approach that encourages students to apply their knowledge and develop statistical understanding. This text contains parallel presentation of critical-value andp-value approaches to hypothesis testing. This unique design allows the flexibility to concentrate on one approach or the opportunity for greater depth in comparing the two.

KEY TOPICS: Introduction; The Nature of Statistics; Descriptive Statistics; Organizing Data; Descriptive Measures; Probability, Random Variables, and Sampling Distributions; Probability Concepts; Discrete Random Variables; The Normal Distribution; The Sampling Distribution of the Sample Mean; Inferential Statistics; Confidence Intervals for One Population Mean; Hypothesis Tests for One Population Mean; Inferences for Two Population Means; Inferences for Population Standard Deviations; Inferences for Population Proportions; Chi-Square Procedures; Regression, Correlation, and ANOVA; Descriptive Methods in Regression and Correlation; Inferential Methods in Regression and Correlation; Analysis of Variance (ANOVA); Multiple Regression and Model Building; Experimental Design and ANOVA; Multiple Regression Analysis; Model Building in Regression; Design of Experiments and Analysis of Variance

MARKET: For all readers interested in statistics.

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