Your order must be $59 or more to qualify for free economy shipping.
Bulk sales, PO's, Marketplace items, eBooks and apparel do not qualify for this offer.
Get Rewarded for Ordering Your Textbooks!Enroll Now
The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.
Summary
ELEMENTARY STATISTICS: A STEP BY STEP APPROACH is for general beginning statistics courses with a basic algebra prerequisite. The book is non-theoretical, explaining concepts intuitively and teaching problem solving through worked examples and step-by-step instructions. This edition features increased emphasis on Excel, MINITAB, and the TI-83 Plus graphing calculator, computing technologies commonly used in such coureses.
Table of Contents
1 The Nature of Probability and Statistics
1-1 Introduction
1-2 Descriptive and Inferential Statistics
1-3 Variables and Types of Data
1-4 Data Collection and Sampling Techniques
1-5 Observational and Experimental Studies
1-6 Uses and Misuses of Statistics
1-7 Computers and Calculators
1-8 Summary
2 Frequency Distributions and Graphs
2-1 Introduction
2-2 Organizing Data
2-3 Histograms, Frequency Polygons, and Ogives
2-4 Other Types of Graphs
2-5 Summary
3 Data Description
3-1 Introduction
3-2 Measures of Central Tendency
3-3 Measures of Variation
3-4 Measures of Position
3-5 Exploratory Data Analysis
3-6 Summary
4 Probability and Counting Rules
4-1 Introduction
4-2 Sample Spaces and Probability
4-3 The Addition Rules for Probability
4-4 The Multiplication Rules and Conditional Probability
4-5 Counting Rules
4-6 Probability and Counting Rules
4-7 Summary
5 Discrete Probability Distributions
5-1 Introduction
5-2 Probability Distributions
5-3 Mean, Variance, and Expectation
5-4 The Binomial Distribution
5-5 Other Types of Distributions (Optional)
5-6 Summary
6 The Normal Distribution
6-1 Introduction
6-2 Properties of the Normal Distribution
6-3 The Standard Normal Distribution
6-4 Applications of the Normal Distribution
6-5 The Central Limit Theorem
6-6 The Normal Approximation to the Binomial Distribution
6-7 Summary
7 Confidence Intervals and Sample Size
7-1 Introduction
7-2 Confidence Intervals for the Mean (s Known or n30)
7-3 Confidence Intervals for the Mean (s Unknown or n<30)
7-4 Confidence Intervals and Sample Size for Proportions
7-5 Confidence Intervals for Variances and Standard Deviations
7-6 Summary
8 Hypothesis Testing
8-1 Introduction
8-2 Steps in Hypothesis Testing - Traditional Method
8-3 z Test for a Mean
8-4 t Test for a Mean
8-5 z Test for a Proportion
8-6 chi^2 test for a Variance or Standard Deviation