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library research report

10 Jun

 

LIBRARY RESEARCH

REPORT

“STATISTICS”

 

haiiii smua apa kbar…..

di baca yach

 

 

 

 

 

 

 

 

 

 

 

 

GROUP 6

CLASS 2c

 

Member of the Group:

 

ü  I KADEK RADHA CANDRA

ü  MARCIANI GABI MONGDONG

ü  FIRSANDY C. KALANGI

ü  KRISYE R. KADEKE

ü  RATNI ETA  RAPI

ü  NATALIA K. SONDAKH

ü  FERDIANTO DJUMATI

ü  STEVY TAARAUNGAN

ü  NATASYA P. KAMAGI

 

 

 

 

 

MANADO STATE UNIVERSITY

MATH AND SCIENCE FACULTY

MATH EDUCATION

2013

  1.                                I.            PROCEDUR TO ENTER LIBRARY

 

 

  1. Enter the library from the main door.
  2. Show the library card to the receptionist.
  3. Write the purpose on the visitor book.
  4. Go to the locker to place belongings like bag.
  5. Go to the library room to find the book and just bring a note with a pen.
  6. The law on the library does not make noise or destroying any property in the library.
  7. After finish reading the book must be place in the right location.
  8. If want to borrow a book must show the book to the receptionist.
  9. For a limited book must be return in three days. And for an ordinary book must be return in two weeks.
  10. After following the procedure than the book can be borrowed.
  11. After finish exit the library from main door.

 

 

  1.                             II.            The Map of book collections in the library

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

                         III.            Library Code of Math Book

We write the original tittle of the book, even the tittle is in Indonesian.

  1.  PENDIDIKAN MATEMATIKA                                           510
  2. MATEMATIKA                                                                        510
  3. PENDIDIKAN MATEMATIKA                                            4.510
  4. ENRICHMENT MATHEMATICS FOR THE GRADES       510
  5. THE UNIVERSAL BOOK OF MATHEMATICS                 510.3
  6. PENDIDIKAN MATEMATIKA                                             510.7
  7. MATEMATIKA UNIVERSITAS                                           510.76
  8. ARITMETIC                                                                             511.7
  9. PEMROSESAN SINYAL DIGITAL                                                  511.8
  10. CALCULUS                                                                             512.1
  11. ALGEBRA                                                                                512.2
  12. LINEAR ALGEBRA                                                                           512.5
  13. ANALISIS MATEMATIK                                                      515
  14. GEOMETRY                                                                             516
  15. MATEMATIKA TEKNIK                                                      519
  16. STATISTIK                                                                              519
  17. MATEMATIKA EKONOMI DAN BISNIS                                      519
  18. MATEMATIKA EKONOMI                                                               1. 519
  19. MATEMATIKA TERAPAN UNTUK

PARA INSINYUR DAN FISIKAWAN                                519

  1. MATEMATIKA APLIKASI BISNIS DAN EKONOMI       519
  2. METHODS OF ENOINEERING MATHEMATIS                519
  3. STATISTIK MATEMATIKA MODERN                               519
  4. DISCRETE MATEMATIK FOR COMPUTI                          519.4
  5. STATISTIK UNTUK MANAJEMEN DAN EKONOMI       519.5
  6. MATEMATIKA UNTUK PEMROSESAN DATA               519.6
  7. CALCULUS                                                                             505
  8. SPECTRAL LINE FORMATION                                           523

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

  1.                          IV.            Statistic Research Paper

 

CONTENTS OF STATISTICS

 

 

Chapter 1. The Nature of Statistics

1.1  Two kinds of statistics

1.2  Classification of statistical problem

1.3  Development of inferential statistics

Chapter 2. Organizing data

2.1 Data

2.2 Grouped data

2.3 Graphs and charts

2.4 How to lie with graphs

2.5 Stem-and-leaf diagrams-a new way of looking at data

2.6 Computer packages

Chapter 3. Descriptive Measures

3.1 Measures of central tendency

3.2 Summation notation-the sample mean

3.3 Measures of dispersion –the sample standard deviation

3.4 Interpretation of the standard deviation-Chebychev’s theorem

3.5 Computing x and s for grouped data

3.6 percentiles; box-and-whisker diagram

3.7 uses of samples; the population mean and population standard deviation

3.8 computer packages

Chapter 4 Probability

4.1 Introduction

4.2 Random variable; probability distributions

4.3 Compound events

4.4 Rules of probability

4.5 Further rules of probability

4.6 Conditional probability

4.7 Independence

4.8 The binomial distribution

4.9 The mean and standard deviation of a random variable

4.10 The relative-frequency interpretation of probability. Empirical probability

Chapter 5. The Normal Distribution

5.1 Estimating a population mean

5.2 The standard normal or z-curve

5.3 Areas under normal curves

5.4 Normally distributed populations and random variables

5.5 standardizing a random variable

5.6 The normal approximation to the binomial distribution

Chapter 6. The Sampling Distribution of the Mean

6.1 Random samples

6.2 The mean and standard deviation of   

6.3 The central limit theorem and the sampling distribution of the mean

Chapter 7. Estimating a Population Mean

7.1 Confidence intervals

7.2 Specifying the confidence level

7.3 Confidence intervals for means-large samples

7.4 Confidence intervals for proportions-large samples

7.5 The Student’s t-distribution

7.6 Confidence intervals for means-small samples

Chapter 8. Hypothesis Tests for Means

8.1 Introduction

8.2 Setting up a hypothesis test: large samples

8.3 Hypothesis tests for a single means-one-tailed tests for large samples

8.4 Hypothesis tests for a single means-two-tailed tests for large samples

8.5 Hypothesis tests concerning proportions for large samples

8.6 Hypothesis tests for differences between means for independent samples-large    samples

8.7 Hypothesis tests for differences between means for paired samples-large samples

8.8 setting up a hypothesis tests: small samples

8.9 Hypothesis tests for a single mean for small samples

8.10 small-samples hypothesis tests for differences between means for independent samples-equals variances

Chapter 9. Inferences Concerning Variances

9.1 Introduction-why we study variances

9.2 The  –statistic and the chi-square curve

9.3 Hypothesis tests for a single variance

9.4 Confidence intervals for variance

9.5 The F-statistic and the F-curve

9.6 Computer packages

Chapter 10. Chi-square Tests

10.1 Introductions

10.2 Chi-square goodness-of-fit test

10.3 Contingency tables –independence

10.4 Chi-square tests of independence

10.5 Chi-square tests of homogeneity

10.6 Computer packages

Chapter 11. Analysis of Variance (ANOVA)

11.1 Introduction

11.2 ANOVA: assumptions; short-cut formulas

11.3 Computer packages

Chapter 12. Regression and Correlation

12.1 Straight-line equations

12.2 Fitting straight-line equations to data

12.3 The correlations coefficient

12.4 The regression model; mean square error

12.5 Inferences in regression

12.6 Inferences in correlations analysis

12.7 Computer packages

Chapter 13. Nonparametric Statistics

13.1 Introduction

13.2 The binomial distribution

13.3 The sign test for medians

13.4 The Wilcoxon signed-rank test

13.5 The Mann-Whitney test

13.6 The runs test

13.7 Comparison of parametric and nonparametric tests

 

Chapter 14. Planning a Study

14.1 Introduction

14.2 Is a study necessary?

14.3 Sampling

14.4 Type I and Type II errors

14.5 Design of experiments

14.6 The study: putting it all together

14.7 Beyond this book

 

 

SUMMARY

Statistics is the study of the collection, organization, analysis, interpretation, and presentation of data. It deals with all aspects of this, including the planning of data collection in terms of the design of surveys and experiments.

 

The word statistics, when referring to the scientific discipline, is singular, as in “Statistics is an art. This should not be confused with the word statistic, referring to a quantity (such as mean or median) calculated from a set of data, whose plural is statistics (“this statistic seems wrong” or “these statistics are misleading”).

 

Some consider statistics a mathematical body of science that pertains to the collection, analysis, interpretation or explanation, and presentation of data, while others consider it a branch of mathematics concerned with collecting and interpreting data. Because of its empirical roots and its focus on applications, statistics is usually considered a distinct mathematical science rather than a branch of mathematics. Much of statistics is non-mathematical: ensuring that data collection is undertaken in a way that produces valid conclusions; coding and archiving data so that information is retained and made useful for international comparisons of official statistics; reporting of results and summarized data (tables and graphs) in ways comprehensible to those who must use them; implementing procedures that ensure the privacy of census information.

 

Statisticians improve data quality by developing specific experiment designs and survey samples. Statistics itself also provides tools for prediction and forecasting the use of data and statistical models. Statistics is applicable to a wide variety of academic disciplines, including natural and social sciences, government, and business. Statistical consultants can help organizations and companies that don’t have in-house expertise relevant to their particular questions.

 

 

 

 

 

 

 

 

 

 

  1.                             V.            References

 

  1. Title                       : Principles and procedures of statistics A biometrical

Authors                 : Robert G. D. Steel

James H. Torrie

Publisher               : international student edition

Edition                  : 2

Year                      : 1981

 

  • Summary/discription this book

 

This textbook provides a thorough treatment of major statistical methods and techniques for both statisticians and non-statisticians requiring a foundation in applied statistics. There is an emphasis throughout on inference from data, the principle of fitting models by least squares, and careful interpretation of results. The authors employ SAS to produce PC-based statistical graphics and perform some analyses where appropriate. This edition includes updated real-world data sets.

 

  • The Reason Why We Choose This Book

In this book contains the principles and procedures of statistics biometrical. This is very useful when we learning biometrical. We can use the method of statistics. This book is also contains other materials about statistics like Mean, Modus, Median, Quartile Etc.

 

 

  1. Title                     : Introducing statistics

Authors                 : Neil Weiss

Hassett

Publisher               : Addision wasley publishing company, Inc.

Edition                  : 2

Year                      : 1982

 

  • Summary/description this book

 

In this book, Weiss offers a comprehensive, traditional approach to introductory statistics, with a heavy emphasis on mathematical reasoning and critical thinking. Weiss’s meticulous style offers careful, detailed explanations to ease the learning process. More than 2,600 exercises involve real data from contemporary sources, which promotes active learning and develops readers’ ability to think critically with statistics.

Introductory Statistics, in this edition, contains parallel presentation of critical-value and p-value approaches to hypothesis testing. This unique design allows both the flexibility to concentrate on one approach or the opportunity for greater depth in comparing the two. The text is suitable for a one- or two-semester course.

 

  • The Reason Why We Choose This Book

The reason why we choose this book because this book constitute the introduction to statistics. In this book the introduction until the application to a daily life write very detail and specific.

 

 

 

  1. Title                     : Fundamental statistics in psychology and education

Authors                 : J. P. Guilford

Benjamin Fruchter

Publisher               : International student edition

Edition                  : 6

Year                      : 1978

 

  • Summary/ descriptions this book
  • The Reason Why We Choose This Book

Because this book contains education about statistics. This book is very important for the teacher candidate because this book contains the application to teaching this statistics material. This book contains the basic of statistics and can be easily understand.

 

  1. Title                     : Statistics for engineers and scientist

Authors                 : William navidi

Publisher               : Mc Graw hill higher education

Edition                  : 2

Year                      : 2008

 

  • Summary/ descriptions this book

Statistics for Engineers and Scientists stands out for its crystal clear presentation of applied statistics. Suitable for a one or two semester course, the book takes a practical approach to methods of statistical modeling and data analysis that are most often used in scientific work.

Statistics for Engineers and Scientists features a unique approach highlighted by an engaging writing style that explains difficult concepts clearly, along with the use of contemporary real world data sets to help motivate students and show direct connections to industry and research. While focusing on practical applications of statistics, the text makes extensive use of examples to motivate fundamental concepts and to develop intuition.

 

  • The Reason Why We Choose This Book

In this book contains the education of statistics for engineers when we make a research we can use these statistics methods in our research result.

 

 

  1. Title                     : Statistical principles in experimental design

Authors                 :  B. J. Winer

Donald R. Brown

Kenneth M. Michels

Publisher               : Mc Graw hill series in psychology

Edition                  : 3

Year                      : 1991

 

  • Summary/ descriptions this book
  • The Reason Why We Choose This Book

In this book contains about the statistics methods that we use in our experiment.

This is very important before we start on experiment or research.

  1.                          VI.            PROCEDURE TO MAKE A LIBRARY RESEARCH

 

  1. We prepare the library card that we will use when entering the library.
  2. We prepare the note book and all the things that we will use to gathering the data.
  3. Examine the library condition and draw a map about where the book located. Like mathematics book, science, biology etc.
  4. Then we investigate the books code, because every shelf contains different book code, we write in our notebook with the code.
  5. After we examine all he books, we choose the most interesting topic; in this case we choose “statistics”.
  6. We do an investigation about the things that we will discuss in this statistics topic
  7. We choose five books for a reference and then we write the title, author (s), publisher, and edition/year.
  8. We make a summary about statistics.
  9. We give a reason about why we choose statistics as our topic.
  10. After that, we arrange all the research we have found and make them in to a report.
 
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Posted by on June 10, 2013 in TUGAS KULIAH, UMUM

 

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