Für diesen Artikel ist leider kein Bild verfügbar.

Essentials of Statistics

(Autor)

Buch | Softcover
648 Seiten
2002
Pearson (Verlag)
978-0-201-74118-6 (ISBN)
69,40 inkl. MwSt
zur Neuauflage
  • Titel erscheint in neuer Auflage
  • Artikel merken
Zu diesem Artikel existiert eine Nachauflage
Statistics professors increasingly want a more economical and streamlined text that covers only those topics that are included in their introductory statistics course. This text aims to provide such coverage including information on statistics in the news and real data sets.
Statistics professors increasingly want a more economical and streamlined text that covers only those topics that are included in their introductory statistics course. Essentials of Statistics, First Edition, is the book for these instructors. Drawn from Triola's Elementary Statistics, 8e, Essentials has the same strong pedagogy: conversational writing style, flow charts, margin essays, ample number of examples that involve real data, numerous and varied exercises, and emphasis on interpretation.

1. Introduction to Statistics.


Overview.



The Nature of Data.



Uses and Abuses of Statistics.



Design of Experiments.



2. Describing, Exploring, and Comparing Data.


Overview.



Summarizing Data with Frequency Tables.



Pictures of Data.



Measures of Center.



Measures of Variation.



Measures of Position.



Exploratory Data Analysis (EDA).



3. Probability.


Overview.



Fundamentals.



Addition Rule.



Multiplication Rule: Basics.



Multiplication Rule: Complements and Conditional Probability.



Counting.



4. Probability Distributions.


Overview.



Random Variables.



Binomial Probability Distributions.



Mean, Variance, and Standard Deviation for the Binomial Distribution.



5. Normal Probability Distributions.


Overview.



The Standard Normal Distribution.



Nonstandard Normal Distributions: Finding Probabilities.



Nonstandard Normal Distributions: Finding Values.



The Central Limit Theorem.



Normal Distribution as Approximation to Binomial Distribution.



6. Estimates and Sample Sizes.


Overview.



Estimating a Population Mean: Large Samples.



Estimating a Population Mean: Small Samples.



Determining Sample Size.



Estimating a Population Proportion.



Estimating a Population Variance.



7. Hypothesis Testing.


Overview.



Fundamentals of Hypothesis Testing.



Testing a Claim about a Mean: Large Samples.



Testing a Claim about a Mean: Small Samples.



Testing a Claim about a Proportion.



Testing a Claim about a Standard Deviation or Variance.



8. Inferences from Two Samples.


Overview.



Inferences about Two Means: Independent and Large Samples.



Inferences about Two Means: Matched Pairs.



Inferences about Two Proportions.



9. Correlation and Regression.


Overview.



Correlation.



Regression.



Variation and Prediction Intervals.



Rank Correlation.



10. Chi-Square and Analysis of Variance.


Overview.



Multinomial Experiments: Goodness-of-fit.



Contingency Tables: Independence and Homogeneity.



One-Way Anova.



Appendices.


Appendix A. Tables



Appendix B. Data Sets.



Appendix C. TI-83 Plus Reference.



Appendix D. Answers to Odd-Numbered Exercises (and All Review Exercises and All Cumulative Review exercises).



Credits.


Index.

Erscheint lt. Verlag 18.2.2002
Sprache englisch
Maße 215 x 253 mm
Gewicht 1259 g
Themenwelt Mathematik / Informatik Mathematik Statistik
ISBN-10 0-201-74118-0 / 0201741180
ISBN-13 978-0-201-74118-6 / 9780201741186
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
Der Weg zur Datenanalyse

von Ludwig Fahrmeir; Christian Heumann; Rita Künstler …

Buch (2024)
Springer Spektrum (Verlag)
49,99