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Statistics + MyLab Statistics with Pearson eText, Global Edition

Statistics + MyLab Statistics with Pearson eText, Global Edition

Autorzy
Wydawnictwo Pearson Education Limited
Data wydania 05/03/2018
Forma publikacji zestaw
Poziom zaawansowania Dla profesjonalistów, specjalistów i badaczy naukowych
Język angielski
ISBN 9781292161655
Kategorie Prawdopodobieństwo i statystyka
602.70 PLN (z VAT)
$135.58 / €129.22 / £112.17 /
Produkt na zamówienie
Dostawa 5-6 tygodni
Ilość
Do schowka

Opis książki

For courses in introductory statistics.

This package includes MyStatLab™.

 

 

A Contemporary Classic

 

Classic, yet contemporary; theoretical, yet applied—McClave & Sincich’s Statistics gives you the best of both worlds. This text offers a trusted, comprehensive introduction to statistics that emphasizes inference and integrates real data throughout. The authors stress the development of statistical thinking, the assessment of credibility, and value of the inferences made from data. This new edition is extensively revised with an eye on clearer, more concise language throughout the text and in the exercises.

 

Ideal for one- or two-semester courses in introductory statistics, this text assumes a mathematical background of basic algebra. Flexibility is built in for instructors who teach a more advanced course, with optional footnotes about calculus and the underlying theory.

 

This package includes MyStatLab, an online homework, tutorial, and assessment program designed to work with this text to personalize learning and improve results. With a wide range of interactive, engaging, and assignable activities, students are encouraged to actively learn and retain tough course concepts.

 

MyStatLab should only be purchased when required by an instructor. Please be sure you have the correct ISBN and Course ID. Instructors, contact your Pearson representative for more information.

Statistics + MyLab Statistics with Pearson eText, Global Edition

Spis treści

1. Statistics, Data, and Statistical Thinking

1.1 The Science of Statistics

1.2 Types of Statistical Applications

1.3 Fundamental Elements of Statistics

1.4 Types of Data

1.5 Collecting Data: Sampling and Related Issues

1.6 The Role of Statistics in Critical Thinking and Ethics

   Statistics in Action: Social Media Network Usage—Are You Linked In?

   Using Technology: MINITAB: Accessing and Listing Data

 

2. Methods for Describing Sets of Data

2.1 Describing Qualitative Data

2.2 Graphical Methods for Describing Quantitative Data

2.3 Numerical Measures of Central Tendency

2.4 Numerical Measures of Variability

2.5 Using the Mean and Standard Deviation to Describe Data

2.6 Numerical Measures of Relative Standing

2.7 Methods for Detecting Outliers: Box Plots and z-Scores

2.8 Graphing Bivariate Relationships (Optional)

2.9 Distorting the Truth with Descriptive Statistics

   Statistics in Action: Body Image Dissatisfaction: Real or Imagined?

   Using Technology: MINITAB: Describing Data

TI-83/TI–84 Plus Graphing Calculator: Describing Data

 

3. Probability

3.1 Events, Sample Spaces, and Probability

3.2 Unions and Intersections

3.3 Complementary Events

3.4 The Additive Rule and Mutually Exclusive Events

3.5 Conditional Probability

3.6 The Multiplicative Rule and Independent Events

3.7 Some Additional Counting Rules (Optional)

3.8 Bayes’s Rule (Optional)

   Statistics in Action: Lotto Buster! Can You Improve Your Chance of Winning?

   Using Technology: TI-83/TI-84 Plus Graphing Calculator: Combinations and Permutations

 

4. Discrete Random Variables

4.1 Two Types of Random Variables

4.2 Probability Distributions for Discrete Random Variables

4.3 Expected Values of Discrete Random Variables

4.4 The Binomial Random Variable

4.5 The Poisson Random Variable (Optional)

4.6 The Hypergeometric Random Variable (Optional)

   Statistics in Action: Probability in a Reverse Cocaine Sting: Was Cocaine Really Sold?

   Using Technology: MINITAB: Discrete Probabilities

TI-83/TI-84 Plus Graphing Calculator: Discrete Random Variables and Probabilities

 

5. Continuous Random Variables

5.1 Continuous Probability Distributions

5.2 The Uniform Distribution

5.3 The Normal Distribution

5.4 Descriptive Methods for Assessing Normality

5.5 Approximating a Binomial Distribution with a Normal Distribution (Optional)

5.6 The Exponential Distribution (Optional)

   Statistics in Action: Super Weapons Development—Is the Hit Ratio Optimized?

   Using Technology: MINITAB: Continuous Random Variable Probabilities and Normal Probability Plots

TI-83/TI-84 Plus Graphing Calculator: Normal Random Variable and Normal Probability Plots

 

6. Sampling Distributions

6.1 The Concept of a Sampling Distribution

6.2 Properties of Sampling Distributions: Unbiasedness and Minimum Variance

6.3 The Sampling Distribution of (x-bar) and the Central Limit Theorem

6.4 The Sampling Distribution of the Sample Proportion

   Statistics in Action: The Insomnia Pill: Is It Effective?

   Using Technology: MINITAB: Simulating a Sampling Distribution

 

7. Inferences Based on a Single Sample: Estimation with Confidence Intervals

7.1 Identifying and Estimating the Target Parameter

7.2 Confidence Interval for a Population Mean: Normal (z) Statistic

7.3 Confidence Interval for a Population Mean: Student’s t-Statistic

7.4 Large-Sample Confidence Interval for a Pop

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