It is dependent on your scientific field and used statistical software.  In psycology and education, I  use SPSS frequently and  recommend you following books first book is definitely best. there are also excellent books from different subjects (e.g regression).  My advice is general and comprehensive books. First book provide examples from different softwares.

For general

1. Tabachnick, B. G., & Fidell, L. S. (2012). Using multivariate statistics (6th ed.). Harlow: Pearson Education.

2. Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate data analysis (7th ed.). Harlow: Pearson Education Limited.

3. Pituch, K. A., & Stevens, J. (2016). Applied multivariate statistics for the social sciences: analyses with SAS and IBM’s SPSS. New York: Routledge.

4. Freedheim, D. K., Nelson, R. J., Healy, A. F., Tennen, H., Lerner, R. M., Easterbrooks, M. A., … Mizumori, S. J. . (2013). Handbook of psychology: Research methods in psychology  (J. A. Schinka & W. F. Velicer, Eds.). Hoboken, N.J.: Wiley.

5. Field, A. P. (2013). Discovering statistics using IBM SPSS statistics: and sex and drugs and rock “n” roll (4th ed.). Los Angeles: Sage.

For specific subjects (some examples)

Regression

Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2002). Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences. Routledge.

Aiken, L. S., West, S. G., & Reno, R. R. (1991). Multiple regression: testing and interpreting interactions. Newbury Park: Sage Publications.

Factor Analysis

Gorsuch, R. L. (1983). Factor analysis. Hillsdale: L. Erlbaum Associates.

Comrey, & Lee. (2016). A First Course in Factor Analysis.

McDonald, R. P. (2014). Factor Analysis and Related Methods. Hoboken: Taylor and Francis.

Pett, M. A., Lackey, N. R., & Sullivan, J. J. (2006). Making sense of factor analysis: the use of factor analysis for instrument development in health care research. Thousand Oaks : Sage.

Brown, T. A. (2015). Confirmatory factor analysis for applied research. New York : Guilford Press.

Missing Data

Enders, C. K. (2010). Applied missing data analysis. New York: Guilford Press.

Power Analysis

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale: L. Erlbaum Associates.

Mediation

Hayes, A. (2017). Introduction to Mediation, Moderation, and Conditional Process Analysis A Regression-based Approach. Guilford

MacKinnon, D. P. (2017). Introduction to statistical mediation analysis. New York, NY; London: Routledge.

It is dependent on your scientific field and used statistical software.  In psycology and education, I  use SPSS frequently and  recommend you following books first book is definitely best. there are also excellent books from different subjects (e.g regression).  My advice is general and comprehensive books. First book provide examples from different softwares.

For general

1. Tabachnick, B. G., & Fidell, L. S. (2012). Using multivariate statistics (6th ed.). Harlow: Pearson Education.

2. Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate data analysis (7th ed.). Harlow: Pearson Education Limited.

3. Pituch, K. A., & Stevens, J. (2016). Applied multivariate statistics for the social sciences: analyses with SAS and IBM’s SPSS. New York: Routledge.

4. Freedheim, D. K., Nelson, R. J., Healy, A. F., Tennen, H., Lerner, R. M., Easterbrooks, M. A., … Mizumori, S. J. . (2013). Handbook of psychology: Research methods in psychology  (J. A. Schinka & W. F. Velicer, Eds.). Hoboken, N.J.: Wiley.

5. Field, A. P. (2013). Discovering statistics using IBM SPSS statistics: and sex and drugs and rock “n” roll (4th ed.). Los Angeles: Sage.

For specific subjects (some examples)

Regression

Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2002). Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences. Routledge.

Aiken, L. S., West, S. G., & Reno, R. R. (1991). Multiple regression: testing and interpreting interactions. Newbury Park: Sage Publications.

Factor Analysis

Gorsuch, R. L. (1983). Factor analysis. Hillsdale: L. Erlbaum Associates.

Comrey, & Lee. (2016). A First Course in Factor Analysis.

McDonald, R. P. (2014). Factor Analysis and Related Methods. Hoboken: Taylor and Francis.

Pett, M. A., Lackey, N. R., & Sullivan, J. J. (2006). Making sense of factor analysis: the use of factor analysis for instrument development in health care research. Thousand Oaks : Sage.

Brown, T. A. (2015). Confirmatory factor analysis for applied research. New York : Guilford Press.

Missing Data

Enders, C. K. (2010). Applied missing data analysis. New York: Guilford Press.

Power Analysis

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale: L. Erlbaum Associates.

Mediation

Hayes, A. (2017). Introduction to Mediation, Moderation, and Conditional Process Analysis A Regression-based Approach. Guilford

MacKinnon, D. P. (2017). Introduction to statistical mediation analysis. New York, NY; London: Routledge.

Dear colleague

look at this link 

https://www.amazon.com/Statistical-Analysis-Oxford-Science-Publications/dp/0198501552

You could have a look at this book 

https://www.amazon.de/Discovering-Statistics-Using-SPSS-Field/dp/1446249182

Thanks, Ertuğrul Şahin for your detail list... It helps me as well.

In my research, I used following statistical books and I just like to share with you as well:

1. Multivariate Data Analysis (7th Edition) 7th Edition (https://www.amazon.com/Multivariate-Data-Analysis-Joseph-Hair/dp/0138132631)

2. A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) 2nd Edition (https://www.amazon.com/Partial-Squares-Structural-Equation-Modeling/dp/148337744X/ref=pd_sim_14_4?_encoding=UTF8&psc=1&refRID=F16RSG17A2RXSCMCMDV7)

3. Discovering Statistics Using IBM SPSS Statistics, 4th Edition 4th Edition (https://www.amazon.com/Discovering-Statistics-Using-IBM-SPSS/dp/1446249182)

Thanks. 

Dear Raid

Please, read the attached books, I hope will be useful for you.

Regards

Dear Dr. Raid, Sir

Thank you so much for inviting me to this session, I think the above mentioned books and links are very good references, and I have a related book, please find the attached one. Please feel free and do not hesitate to contact me again in case of (negative) results.

Regards, Emad

Another one:

Regards, Emad

Yes to all previous proposals confirmed by colleagues, preferably to choose the appropriate statistic for your specialty, which is, I think, medical statistics

Thank you so much dear Dr. Khalid Hassan for sharing these useful books.

Regards, Emad

 Dear Dr. Emad, my pleasure to sharing any further useful materials.

Best Wishes

Byrne, B.M., 2016. Structural equation modeling with AMOS: Basic concepts, applications, and programming. Routledge.

Tabachnick, B. G., & Fidell, L. S., 2001. Using multivariate statistics (4th ed.). Needham Heights, MA:Allyn & Bacon.

All books recommended by Prof. Sahin are nice.

Rather than recommending whole 'lists' of books that will take a lifetime to read, I recommend one: Judd, McClelland, & Ryan (2017). Data Analysis 3rd edition. The authors' various editions have been brilliantly influential in my approach to data analysis, and I consider the authors' methods to be refreshing. I just hope that one day I can have an influence that resembles the influence the authors' have had on me for giving me a field to fall in love with.

http://dataanalysisbook.com

Dear Dr. Ertuğrul Şahin,

Thank you for sharing an ingesting books in statistics.

Kind regards

Raid

Dear Dr. Sohel Ahmed,

Thank you for sharing an ingesting books in statistics.

Kind regards

Raid

Dear Dr. Anuradha Iddagoda,

Thank you for sharing an ingesting books in statistics.

Kind regards

Raid

Dear Dr. Karobi Borah,

Thank you for your answer.

Kind regards

Raid

Dear Dr. Chalamala Srinivas,

Thank you for sharing an ingesting books in statistics.

Kind regards

Raid

Dear Dr. Keith Chamberlain,

Thank you for sharing an ingesting book in statistics.

Kind regards

Raid

Dear Dr. Saeed,

Thank you for sharing an ingesting book in statistics.

Kind regards

Raid

Dear Dr. Samuel Kristal,

Thank you for sharing an ingesting book in statistics.

Kind regards

Raid

Dear Dr. Khalid Hassan,

Thank you for sharing an ingesting books in statistics.

Kind regards

Raid

Dear Dr. Emad,

Thank you for sharing an ingesting books in statistics. Where are you, I missed you.

Kind regards

Raid

Dear Dr. Isam,

Thank you for your valuable answer

Kind regards

Raid

I use a program (spss) in statistical analysis

Berenson, M., Levine, D., Szabat, K.A. and Krehbiel, T.C., 2012. Basic business statistics: Concepts and applications. Pearson higher education AU.

Black, K., 2009. Business statistics: Contemporary decision making. John Wiley & Sons.

Boslaugh, S. and Watters, P., 2008. Statistics in a Nutshell: A Desktop Quick Reference (In a Nutshell (O’Reilly)).

Elliott, A.C. and Woodward, W.A., 2007. Statistical analysis quick reference guidebook: With SPSS examples. Sage.

Tabachnick, B. G., & Fidell, L. S., 2001. Using multivariate statistics (4th ed.). Needham Heights, MA:Allyn & Bacon.

hello

i agree with Dr. Ertuğrul Şahin answer and references

regards

The following book is extremely useful for statistical analysis of experimental data:

" Applied Multivariate Statistical Analysis " 6th edition, Authors: R. A. Johnson & D. W. Wichern , Pearson Publication.

Thanks dear colleagues for your valuable answers.

A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) 2nd Edition

Thanks for sharing your question but i really do not know.Sorry

📷Introduction to Statistical Learning

This is a highly recommended book for practicing data scientists. The focus of this books is kept on connecting statistics concept with machine learning. Hence, you’ll learn about all popular supervised and unsupervised machine learning algorithms. R users will get an advantage, since the practical aspects of algorithms have been demonstrated using R. In addition to theory, this book also lay emphasis on using ML algorithms in real life setting.

Available: Free Download

📷Elements of Statistical Learning

This book is an advanced level of previous book. It is written by Trevor Hastie and Rob Tibshirani, Professors at Stanford University. Their first book ‘Introduction to Statistical Learning’ uncover the basics of statistics and machine learning. This book, will introduce you to higher level algorithms such as Neural Networks, Bagging & Boosting, Kernel methods etc. The algorithms have been implemented in R programming.

Available: Free Download

📷Think Stats

The author of this book is Alien B Downey. It is based on perform statistical analysis practically in Python. Hence, make sure you’ve got some basic knowledge of Python before buying this book. It focuses entirely on understanding real life influence of statistics using popular case studies. Since, stats and math are closely connected, it also has dedicated chapters on topic like bayesian estimation.

Available: Buy from Amazon

📷From Algorithms to Z Scores

Did you know the about crucial role of statistics in programming ? The author of this book is Norm Matloff, Professor, University of California. This book explains using probabilistic concepts and statistical measures in R. Again, a good practice source for R users. It teaches the art of dealing with probabilistic models and choosing the best one for final evaluation. It is a highly recommended book (specially for R users).

Available: Free Download

📷Introduction to Bayesian Statistics

This is a highly recommended book for freshers in data science. The author of this book is William M Bolstad. It’s a must read for people who find mathematics boring. Having been written in a conversational style (rare to find math this way), this book is a great introductory resource on statistics. It begins with scientific methods of data gathering and end up delivering dedicated chapters on bayesian statistics.

Available: Free Download

📷Discovering Statistics using R

This book is written by Andy Field, Jeremy Miles and Zoe Field. I would highly recommend this book to newbies in data science. To start with statistics, this book has a great content which goes in depth detail of its topics. Along with, the statistical concept are explained in conjunction with R which makes it even more useful. It offers a step by step understanding, with a parallel support of interesting practice examples.

Available: Buy on Amazon

https://www.amazon.com/Data-Analysis-Bayesian-Devinderjit-Sivia/dp/0198568320/ref=pd_lpo_sbs_14_img_0/142-1806132-1664038?_encoding=UTF8&psc=1&refRID=952WD9WESNCZJPVPKV7R&dpID=419ujrE6mlL&preST=_SY291_BO1,204,203,200_QL40_&dpSrc=detail

Thanks dear colleagues for your valuable answers.

If you want to use old version like SPSS 16 then

Introduction to SPSS (version16) for windows will help you alot

If you want a detailed study then

DISCOVERING STATISTICS

USING Spss T H I R D E D I T I O N By Andy Field 2009

Sorry Prof Al-Ani ,

I have used stats in most of coding and student days ... They are more of an applied field

Stephen Kay - Statistical signal processing

Any book is useful, but I think you may need software that can do the analysis for you.

I think you need to know how to use statistical programs like spss , sas or Genstat and the last one is more accurate.

The following link, for experimental design using SAS, I hope will be helpful.

http://down.ebook777.com/067/1629609439.pdf

Good Luck

Please see the s. P. Gupta and S. C. Gupta

Please, read " Statistical Hypothesis Testing with SAS and R" Editors Dirk Ta eger and Sonja Kuhnt.

and

Statistics II ( in the following link)

http://online.slidehtml5.com/xbvh/jodb/jodb.pdf

Good Luck

I think, this one may help you Sir:

MacKinnon, D. P. (2017). Introduction to statistical mediation analysis. New York, NY; London: Routledge.

Regards.

very good information regarding statistical books

S. P. Gupta

S. C. Gulta

These are the most important books for statistics

Sc gupta

Better to search Springer book series

Or

Hen and Leather, where you will get statistics concept

What is the best book in statistical analysis of the scientific data?

It depends on whether you want a book based on statistical analysis techniques or tied to a specific statistical software like SPSS, AMOS etc. Some examples include:

If you are interested in experimental design. I recommend this book "Statistical Methods in Biology: Design and Analysis of Experiments and Regression" http://jumboskitchen.org/statistical/methods/in/statistical_methods_in_biology_design_and_analysis_of_experiments_and_regression.pdf