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Format
Språk
Engelska
Antal sidor
656
Utgivningsdatum
2015-08-26
Upplaga
5
Förlag
Pearson
Medarbetare
Samuels, Myra / Witmer, Jeffrey / Schaffner, Andrew
Dimensioner
250 x 200 x 20 mm
Vikt
1107 g
Antal komponenter
1
ISBN
9781292101811

# Statistics for the Life Sciences, Global Edition

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For introductory undergraduate or graduate courses in statistics aimed at life science majors.

Bringing Statistics to Life

The Fifth Edition of Statistics for the Life Sciences uses authentic examples and exercises from a wide variety of life science domains to give statistical concepts personal relevance, enabling students to connect concepts with situations they will encounter outside the classroom. The emphasis on understanding ideas rather than memorizing formulas makes the text ideal for students studying a variety of scientific fields: animal science, agronomy, biology, forestry, health, medicine, nutrition, pharmacy, physical education, zoology and more. In the fifth edition, randomization tests have been moved to the fore to motivate the inference procedures introduced in the text. There are no prerequisites for the text except elementary algebra.

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## Innehållsförteckning

UNIT I: DATA AND DISTRIBUTIONS

1. Introduction

1.1 Statistics and the Life Sciences

1.2 Types of Evidence

1.3 Random Sampling

2. Description of Samples and Populations

2.1 Introduction

2.2 Frequency Distributions

2.3 Descriptive Statistics: Measures of Center

2.4 Boxplots

2.5 Relationships Between Variables

2.6 Measures of Dispersion

2.7 Effect of Transformation of Variables

2.8 Statistical Inference

2.9 Perspective

3. Probability and the Binomial Distribution

3.1 Probability and the Life Sciences

3.2 Introduction to Probability

3.3 Probability Rules (Optional)

3.4 Density Curves

3.5 Random Variables

3.6 The Binomial Distribution

3.7 Fitting a Binomial Distribution to Data (Optional)

4. The Normal Distribution

4.1 Introduction

4.2 The Normal Curves

4.3 Areas under a Normal Curve

4.4 Assessing Normality

4.5 Perspective

5. Sampling Distributions

5.1 Basic Ideas

5.2 The Sample Mean

5.3 Illustration of the Central Limit Theorem

5.4 The Normal Approximation to the Binomial Distribution

5.5 Perspective

Unit I Highlights and Study

UNIT II: INFERENCE FOR MEANS

6. Confidence Intervals

6.1 Statistical Estimation

6.2 Standard Error of the Mean

6.3 Confidence Interval for

6.4 Planning a Study to Estimate

6.5 Conditions for Validity of Estimation Methods

6.6 Comparing Two Means

6.7 Confidence Interval for (1 - 2)

6.8 Perspective and Summary

7. Comparison of Two Independent Samples

7.1 Hypothesis Testing: The Randomization Test

7.2 Hypothesis Testing: The t Test

7.3 Further Discussion of the t Test

7.4 Association and Causation

7.5 One-Tailed t Tests

7.6 More on Interpretation of Statistical Significance

7.8 Students t: Conditions and Summary

7.9 More on Principles of Testing Hypotheses

7.10 The Wilcoxon-Mann-Whitney Test

8. Comparison of Paired Samples

8.1 Introduction

8.2 The Paired-Sample t Test and Confidence Interval

8.3 The Paired Design

8.4 The Sign Test

8.5 The Wilcoxon Signed-Rank Test

8.6 Perspective

Unit II Highlights and Study

UNIT III: INFERENCE FOR CATEGORICAL DATA

9. Categorical Data: One-Sample Distributions

9.1 Dichotomous Observations

9.2 Confidence Interval for a Population Proportion

9.3 Other Confidence Levels (Optional)

9.4 Inference for Proportions: The Chi-Square Goodness-of-Fit Test

9...