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Introductory Statistics: A Problem-Solving Approach
(Englisch)
Kokoska, Stephen

85,95 €

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Produktbeschreibung

A Problem Solving ApproachNow available with Macmillan's Achieve, Introductory Statistics helps students develop the fundamental lifelong skill of solving problems and interpreting solutions in real-world terms.

Über den Autor

Stephen Kokoska


Inhaltsverzeichnis



Chapter 0 Why Study Statistics


Chapter 1 An Introduction to Statistics and Statistical Inference


Chapter 2 Tables and Graphs for Summarizing Data


Chapter 3 Numerical Summary Measures


Chapter 4 Probability


Chapter 5 Random Variables and Discrete Probability Distributions


Chapter 6 Continuous Probability Distributions


Chapter 7 Sampling Distributions


Chapter 8 Confidence Intervals Based on a Single Sample


Chapter 9 Hypothesis Tests Based on a Single Sample


Chapter 10 Confidence Intervals and Hypothesis Tests Based on Two Samples or Treatments


Chapter 11 The Analysis of Variance


Chapter 12 Correlation and Linear Regression


Chapter 13 Categorical Data and Frequency Tables


Chapter 14 Nonparametric Statistics


Optional Sections (available online at macmillanlearning.com/introstats3e):


Section 6.5 The Normal Approximation to the Binomial Distribution


Section 12.6 The Polynomial and Qualitative Predictor Models


Section 12.7 Model Selection Procedures


Klappentext



In almost every occupation and in ordinary daily life, students will have to make data-driven decisions and inferences, as well as assess risk. This textbook helps students develop the fundamental lifelong skill of solving problems and interpreting solutions in real-world terms.


The author makes the problem-solving approach accessible and easy to apply in many situations which is especially important for students from a wide range of academic and career backgrounds, including business, science and technology, and education. This text is designed to help students fully understand the steps in basic statistical arguments, emphasising the importance of assumptions in order to follow valid arguments or identify inaccurate conclusions. Most importantly, students will understand the process of statistical inference.


Undergraduate students studying mathematics and statistics



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