Elementary Statistics A STEP BY STEP Approach 9th Edition by Allan Bluman 0073534986 9780073534985

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ISBN 10: 0073534986

ISBN 13: 9780073534985

Author: Allan Bluman

Elementary Statistics: A Step by Step Approach was written as an aid in the beginning statistics course to students whose mathematical background is limited to basic algebra. The book follows a nontheoretical approach without formal proofs, explaining concepts intuitively and supporting them with abundant examples. The applications span a broad range of topics certain to appeal to the interests of students of diverse backgrounds, and they include problems in business, sports, health, architecture, education, entertainment, political science, psychology, history, criminal justice, the environment, transportation, physical sciences, demographics, eating habits, and travel and leisure. Includes print student edition

Elementary Statistics A STEP BY STEP Approach 9th Table of contents:

1 The Nature of Probability and Statistics

1.1 Descriptive and Inferential Statistics

1.2 Variables and Types of Data

1.3 Data Collection and Sampling Techniques

1.4 Observational and Experimental Studies

1.5 Uses and Misuses of Statistics

1.6 Computers and Calculators

2 Frequency Distributions and Graphs2.1 Organizing Data

2.2 Histograms, Frequency Polygons,and Ogives

2.3 Other Types of Graphs

3 Data Description3.1 Measures of CentralTendency

3.2 Measures of Variation

3.3 Measures of Position

3.4 Exploratory Data Analysis

4 Probability and Counting Rules4.1 Exploratory Data Analysis

4.2 The Addition Rules for Probability

4.3 The Multiplication Rules and ConditionalProbability

4.4 Counting Rules

4.5 Probability and Counting Rules

5 Discrete Probability Distributions

5.1 Probability Distributions

5.2 Mean, Variance, Standard Deviation,and Expectation

5.3 The Binomial Distribution

5.4 Other Types of Distributions (Optional)

6 The Normal Distribution6.1 Normal Distributions

6.2 Applications of the NormalDistribution

6.3 The Central Limit Theorem

6.4 The Normal Approximation to the BinomialDistribution

7 Confidence Intervals and Sample Size7.1 Confidence Intervals for the Mean When σ Is Known

7.2 Confidence Intervals for the Mean When σ Is Unknown

7.3 Confidence Intervals and Sample Size for Proportions

7.4 Confidence Intervals for Variances and Standard Deviations

8 Hypothesis Testing8.1 Steps in Hypothesis Testing—Traditional Method

8.2 z Test for a Mean

8.3 t Test for a Mean

8.4 z Test for a Proportion

8.5 χ2 Test for a Variance or Standard Deviation

8.6 Additional Topics Regarding Hypothesis Testing

9 Testing the Difference Between Two Means, Two Variances, and Two Proportions9.1 Testing the Difference Between Two Means: Using the z Test

9.2 Testing the Difference Between Two Means of Independent Samples: Using the t Test

9.3 Testing the Difference Between Two Means: Dependent Samples

9.4 Testing the Difference Between Proportions9.5 Testing the Difference Between Two Variances

10 Correlation and Regression10.1 Scatter Plots and Correlation

10.2 Regression

10.3 Coefficient of Determination and Standard Error of the Estimate

10.4 Multiple Regression (Optional)

11 Other Chi-Square Tests11.1 Test for Goodness of Fit

11.2 Tests Using Contingency Tables

12 Analysis of Variance12.1 One-Way Analysis of Variance

12.2 The Scheffé Test and the Tukey Test

12.3 Two-Way Analysis of Variance

13 Nonparametric Statistics13.1 Advantages and Disadvantages of Nonparametric Methods

13.2 The Sign Test

13.3 The Wilcoxon Rank Sum Test

13.4 The Wilcoxon Signed-Rank Test

13.5 The Kruskal-Wallis Test

13.6 The Spearman Rank Correlation Coefficient and the Runs Test

14 Sampling and Simulation14.1 Common Sampling Techniques

14.2 Surveys and Questionnaire Design

14.3 Simulation Techniques and the Monte Carlo Method

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