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About The elementary statistics a step by step approach bluman 10th edition pdf

This book is very useful for both students and professionals. The examples are clear and easy to understand. All chapters are followed by example problems creating even more clear understanding of the topic. Paying attention to these details makes accounting much easier. I’m very glad I found this book, it will help me understand accounting principles better.

Elementary statistics a step by step approach bluman 10th edition pdf is a continuation of the authoritative Twelfth Edition by James J. Kieso, Jerry J. Weygandt & Terry D. Warfield. It is a complete textbook and supplemental study guide for intermediate accounting, building on coverage in Intermediate Accounting, Volume 1 .

The elementary statistics a step by step approach bluman 10th edition pdf is designed as a study of accounting principles and practices for those desiring a thorough working knowledge of the subject. The first chapter of the volume on Accounting Principles introduces the student to the field of accounting, its development, its scope and limitations, and some interesting facts about its evolution.

ABOUT THE BOOK Elementary Statistics 10th Edition Bluman PDF free download

The elementary statistics a step by step approach 10th edition table of contents include

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 Graphs
2.1 Organizing Data
2.2 Histograms, Frequency Polygons,and Ogives
2.3 Other Types of Graphs
3 Data Description
3.1 Measures of CentralTendency
3.2 Measures of Variation
3.3 Measures of Position
3.4 Exploratory Data Analysis
4 Probability and Counting Rules
4.1 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 Distribution
6.1 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 Size
7.1 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 Testing
8.1 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 Proportions
9.1 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 Regression
10.1 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 Tests
11.1 Test for Goodness of Fit
11.2 Tests Using Contingency Tables
12 Analysis of Variance
12.1 One-Way Analysis of Variance
12.2 The Scheffe Test and the Tukey Test
12.3 Two-Way Analysis of Variance
13 Nonparametric Statistics
13.1 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 Simulation
14.1 Common Sampling Techniques
14.2 Surveys and Questionnaire Design
14.3 Simulation Techniques and the Monte Carlo Method

Appendices
Appendix A: Tables
Appendix B: Data Bank
Appendix C: Glossary
Appendix D: Photos Credits
Appendix E: Selected Answers
Additional Topics Onlne
Algebra Review
Writing the Research Report
Bayes’ Theorem
Alternate Approach to the Standard Normal Distribution
Bibliography

About the Author elementary statistics a step by step approach 10th edition

elementary statistics a step by step approach 10th edition author; Allan G. Bluman is a professor emeritus at the Community College of Allegheny County, South Campus, near Pittsburgh. He has taught mathematics and statistics for over 35 years. He received an Apple for the Teacher award in recognition of his bringing excellence to the learning environment at South Campus. He has also taught statistics for Penn State University at the Greater Allegheny (McKeesport) Campus and at the Monroeville Center. He received his master’s and doctor’s degrees from the University of Pittsburgh.

In addition to Elementary Statistics: A Step by Step Approach (Eighth Edition ©2012) and Elementary Statistics: A Brief Version (Fifth Edition ©2010), Al is a co-author on a liberal arts mathematics text published by McGraw-Hill, Math in Our World (2nd Edition ©2011). Al also the author of for mathematics books in the McGraw-Hill DeMystified Series. They are Pre-Algebra, Math Word Problems, Business Math, and Probability.

Al Bluman is married and has two sons and a granddaughter.


Product details

  • Lexile Measure : 1130L
  • Item Weight : 4.11 pounds
  • Hardcover : 880 pages
  • ISBN-10 : 1259755339
  • ISBN-13 : 978-1259755330
  • Product Dimensions : 8.9 x 1.3 x 11.2 inches
  • Publisher : McGraw-Hill Education; 10th Edition (February 1, 2017)
  • Language: : English
  • Best Sellers Rank: #77,115 in Books

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