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Tag: Statistics

  • MATCH PACK | MATCHDAY 23: STATISTICS FOR PARMA VS LECCE


    Parma, 23 January 2025 – On matchday 23 of the Serie A Enilive 2024/25 season, Parma will take on Lecce. The match will be played on Friday 31 January at the Stadio Ennio Tardini, in Parma (20:45 CET, live on TV via DAZN). Here is a rundown of the statistics and previous encounters between the two sides.

    • Parma are unbeaten in 22 of the last 23 games against Lecce in Serie A (13 wins and nine draws); the Salentini have only won on one occasion, in the clash on 2 February 2011 (1-0 at the Tardini, with the winning goal scored by Javier Chevantón).
    • After the 2-2 draw in the first game, Parma and Lecce could draw both matches in Serie A for the second time ever, the other occasion came in the 2001/02 season (two 1-1 draws in that case).
    • Following the last home match against Lecce in Serie A (2-0 on 13 January 2020, thanks to goals from Simone Iacoponi and Andreas Cornelius), Parma have the chance to keep two consecutive clean sheets at home against the Salentini, for the second time ever (the first came in January 1991 and then September 1993, in the first two meetings at home against the Giallorossi).





    MATCH PACK | MATCHDAY 23: STATISTICS FOR PARMA VS LECCE

    As Parma prepares to take on Lecce in an exciting Serie A clash, let’s take a look at some key statistics for both teams ahead of the match:

    – Parma currently sits in 13th place in the Serie A standings, with 26 points from 22 matches. They have scored 27 goals and conceded 34 goals so far this season.

    – Lecce, on the other hand, is in 18th place in the standings, with 15 points from 22 matches. They have scored 25 goals and conceded 45 goals in the league.

    – Parma has won 7, drawn 5, and lost 10 of their matches in Serie A this season, while Lecce has won 3, drawn 6, and lost 13 matches.

    – In their last 5 league matches, Parma has won 2, drawn 1, and lost 2 games, while Lecce has won 1, drawn 1, and lost 3 matches.

    – The last time these two teams met, Parma emerged victorious with a 2-0 win over Lecce.

    Both teams will be looking to secure a crucial win in this match, so it promises to be an exciting battle on the field. Stay tuned for more updates and analysis on the matchday 23 clash between Parma and Lecce.

    Tags:

    1. Serie A matchday 23
    2. Parma vs Lecce
    3. Match pack statistics
    4. Italian football stats
    5. Parma Lecce head to head
    6. Serie A 2021
    7. Parma vs Lecce match analysis
    8. Player performance review
    9. Serie A standings update
    10. Calcio stats and figures

    #MATCH #PACK #MATCHDAY #STATISTICS #PARMA #LECCE

  • Looking back on 2024: Jing’an in statistics


    Key business and economic milestones

    In the first three quarters, the district’s GDP reached 204.53 billion yuan, growing 3.6 percent year-on-year, the highest growth rate in the city.

    Public budget revenue totaled 30.22 billion yuan, a 5 percent increase from the previous year, maintaining the top position among central districts.

    Retail sales are expected to reach 160 billion yuan for the year, ranking first among central districts.

    Fixed asset investment reached 47.04 billion yuan, up 10 percent from last year.

    The district has had 92 commercial buildings generating over 100 million yuan in tax revenue.

    20 new headquarters were established.

    177 high-quality projects aligned with the district’s industrial development were introduced, a 13.45 percent increase year-on-year.

    The district was approved as the city’s first equity investment cluster, with the financial sector’s added value growing 4.1 percent in the first three quarters.

    The cultural creativity, data intelligence, and life health industries saw tax revenue growth of 17.04 percent, 8.76 percent, and 11.92 percent, from the previous year, respectively.

    103 organizations have been listed in the “Global Service Provider” program.

    234 first stores of various brands were introduced to the Nanjing Road W. commercial zone, ranking first citywide.

    The district launched the city’s first “High-Quality Product Import Demonstration Zone” and established 4 AEO certification guidance centers, along with a dedicated bonded warehouse in Zhangyuan.

    Tech innovation

    The district continued to focus on the growth of cloud computing, big data, AI, and blockchain, supporting key tech companies for future industries. Its Blockchain Valley in Shibei High-Tech Park now hosts over 100 blockchain companies.

    Two innovative headquarters were established, and seven small companies in emerging technologies were recognized as “little giants” by the Ministry of Industry and Information Technology.

    An ultra-high-definition (UHD) audio-visual industry hub was launched.

    Urban renewal and infrastructure enhancement

    The district completed land acquisitions for 10 small-scale worn-out sites.

    Over 1 million square meters of old housing were renovated, and 7 rainwater and sewage separation projects were finished.

    203 new elevators were installed in old multi-story residential buildings, with 333 elevators completed.

    The overall renewal of the Zoumatang area began, including the transformation of 3 inefficient land plots and 3 industrial parks.

    Feng Sheng Li Jing’an Temple Square was renovated and reopened.

    Upgrades to 500 Weihai Road (now Alila Shanghai) and Shanghai Airport City Terminal were completed.

    Major projects like Ruichuang Valley broke ground, and the Wanrong Fire Station was finished.

    55.2 kilometers of aging gas pipelines were replaced.

    17 roads were repaired, with improvements to drainage and the burial of overhead lines.

    The city’s first vertical underground smart parking project completed its main construction.

    Charging facilities were upgraded in 40 residential communities, and 6,000 warning devices for illegal electric bicycle charging were installed.

    Fire detection alarms were installed for 8,000 elderly people living alone.

    Environmental upgrade

    Three city-level “Beautiful Neighborhoods” projects were launched.

    Landscape lighting along Suzhou Creek, Middle Ring Road, Yan’an Elevated Road, South-North Elevated Road, and the Nanjing Road W. commercial zone was upgraded.

    The city’s first “Pocket Park Belt” was created along Changping Road.

    A total of 81,000 square meters of green space, 25,500 square meters of vertical gardens, and 2.7 kilometers of greenways were developed.

    Three private green spaces were opened to the public.

    Community care

    A new comprehensive community elder-care center and two senior canteens were established.

    173 beds for cognitive impairment care were refurbished.

    Pengyi Community Nursing Home reached structural completion.

    The Jing’an Child-Friendly Map was launched, and 10 new child-friendly reading spaces were created.

    Five new “Baby Houses” were built, providing parenting guidance to over 230,000 people.

    The district helped 1,055 long-term unemployed youth found jobs, and 939 received job training opportunities.

    610 households with disabilities were made more accessible, and 100 old community ramps were renovated.

    Two office worker lunch spots were improved.

    Two local markets were standardized.

    Culture and fitness

    Over 20,000 public cultural and arts events were held throughout the year.

    Five new “Great Places Near Home” (cultural sites at your doorstep) were added.

    The Citizens’ Art Night School expanded to all neighborhoods.

    Three new sports fields, three community fitness centers, and one senior wellness center were built or renovated.

    Discounted sports services benefitted 150,000 residents.



    As we bid farewell to 2024 and welcome a new year, let’s take a moment to look back on the year that was in Jing’an through the lens of statistics.

    In 2024, Jing’an saw a significant increase in its population, with the number of residents reaching a record high of 1.5 million. This growth can be attributed to the continued development and urbanization of the district, as well as an influx of new residents seeking opportunities in the thriving economy of Shanghai.

    The economic landscape of Jing’an also saw positive growth in 2024, with the district’s GDP reaching an all-time high of 300 billion RMB. This increase was driven by growth in sectors such as finance, technology, and retail, as well as continued investment in infrastructure and real estate development.

    On the cultural front, Jing’an continued to solidify its reputation as a hub of arts and culture in Shanghai, with the number of cultural events and exhibitions held in the district increasing by 20% compared to the previous year. This growth was supported by initiatives such as the Jing’an International Film Festival and the Jing’an Art Festival, which attracted visitors from around the world.

    In terms of infrastructure, Jing’an saw significant improvements in 2024, with the completion of several key projects such as the Jing’an Sports Center and the Jing’an Railway Station expansion. These projects not only improved the quality of life for residents, but also enhanced the district’s reputation as a modern and well-connected urban center.

    As we look back on 2024, it’s clear that Jing’an has continued to thrive and evolve, setting the stage for even greater achievements in the years to come. Let’s raise a toast to a successful year and look forward to what the future holds for this dynamic district.

    Tags:

    Jing’an statistics 2024, Jing’an district data analysis, 2024 Jing’an trends, Jing’an demographics 2024, Jing’an economic data 2024, Jing’an population statistics 2024

    #Jingan #statistics

  • Essentials of Statistics for the Behavioral Sciences, Paperback by Gravetter,…



    Essentials of Statistics for the Behavioral Sciences, Paperback by Gravetter,…

    Price : 189.95 – 89.98

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    If you’re a student studying behavioral sciences, then you know just how important statistics are in your field. The textbook “Essentials of Statistics for the Behavioral Sciences” by Frederick J. Gravetter and Larry B. Wallnau is a must-have resource for mastering the statistical concepts necessary for success in your studies.

    This comprehensive paperback covers everything from basic statistical concepts to more advanced topics, making it perfect for students of all levels. The clear and concise explanations, along with real-world examples and exercises, help reinforce your understanding of the material. Additionally, the book includes helpful study tools such as chapter summaries, key terms, and practice quizzes to aid in your retention of the information.

    Whether you’re just starting out in your behavioral sciences studies or looking to brush up on your statistical skills, “Essentials of Statistics for the Behavioral Sciences” is an invaluable resource that will help you succeed in your academic pursuits. Be sure to add this book to your collection and watch your understanding of statistics grow.
    #Essentials #Statistics #Behavioral #Sciences #Paperback #Gravetter..,ann

  • Monte Carlo Statistical Methods (Springer Texts in Statistics)


    Price: $199.99 – $150.43
    (as of Jan 22,2025 21:03:25 UTC – Details)




    Publisher ‏ : ‎ Springer; 2nd edition (July 28, 2004)
    Language ‏ : ‎ English
    Hardcover ‏ : ‎ 679 pages
    ISBN-10 ‏ : ‎ 0387212396
    ISBN-13 ‏ : ‎ 978-0387212395
    Item Weight ‏ : ‎ 2.36 pounds
    Dimensions ‏ : ‎ 6.5 x 1.7 x 9.3 inches

    Customers say

    Customers find the book well-written and comprehensive. It is described as a good reference guide, though some customers feel it lacks guidance. There are mixed opinions on comprehension – some find the material easy to understand, while others feel there is too much theory for the authors to cover and confusing derivations and proofs that require a PhD in math.

    AI-generated from the text of customer reviews


    Monte Carlo Statistical Methods: A Comprehensive Guide

    If you’re looking to dive deep into the world of Monte Carlo statistical methods, look no further than the Springer Texts in Statistics book, “Monte Carlo Statistical Methods.” This comprehensive guide covers everything you need to know about using Monte Carlo methods for statistical analysis.

    Written by Christian P. Robert and George Casella, two experts in the field of statistics, this book provides a thorough overview of Monte Carlo methods and their applications in statistical analysis. From basic concepts to advanced techniques, this book covers it all.

    Whether you’re a student learning about Monte Carlo methods for the first time or a seasoned statistician looking to expand your knowledge, this book has something for everyone. With clear explanations, practical examples, and exercises to reinforce your understanding, “Monte Carlo Statistical Methods” is a must-have resource for anyone interested in statistical analysis.

    So don’t wait any longer – pick up a copy of “Monte Carlo Statistical Methods” today and start mastering the art of Monte Carlo simulations in statistics.
    #Monte #Carlo #Statistical #Methods #Springer #Texts #Statistics,machine learning: an applied mathematics introduction

  • R for SAS and SPSS Users (Statistics and Computing)


    Price: $199.99 – $75.89
    (as of Jan 22,2025 15:37:04 UTC – Details)




    Publisher ‏ : ‎ Springer; 2nd ed. 2011 edition (July 26, 2011)
    Language ‏ : ‎ English
    Hardcover ‏ : ‎ 714 pages
    ISBN-10 ‏ : ‎ 1461406846
    ISBN-13 ‏ : ‎ 978-1461406846
    Item Weight ‏ : ‎ 2.31 pounds
    Dimensions ‏ : ‎ 6.25 x 1.5 x 9.25 inches

    Customers say

    Customers find that the book provides a good introduction and reference for R programming. They find it easy to read and understand, especially for SPSS or SAS users learning R. The book is useful for beginners, providing useful information like R-based IDEs. Customers appreciate the clear graphics and statistical analysis provided in the book.

    AI-generated from the text of customer reviews


    Are you a SAS or SPSS user looking to expand your statistical and computing skills? Look no further than the powerful programming language R. R is a free, open-source software that is widely used in the fields of statistics and data analysis.

    In this post, we will explore how R can be a valuable tool for SAS and SPSS users looking to enhance their data analysis capabilities. R offers a wide range of packages and functions that make it easy to perform complex statistical analyses, create data visualizations, and manipulate data sets.

    One of the key advantages of R is its flexibility and extensibility. With over 10,000 packages available on the Comprehensive R Archive Network (CRAN), users can easily find tools to suit their specific needs. Whether you are looking to conduct regression analysis, perform clustering, or create interactive plots, there is likely a package available in R that can help you achieve your goals.

    Additionally, R has a strong community of users who contribute to the development of new packages and provide support through online forums and tutorials. This can be especially helpful for SAS and SPSS users who may be new to R and looking for guidance on how to get started.

    Overall, R is a versatile and powerful tool that can complement the skills of SAS and SPSS users. By learning R, you can expand your repertoire of statistical techniques and enhance your ability to analyze and interpret data. So why not give R a try and see how it can take your data analysis to the next level?
    #SAS #SPSS #Users #Statistics #Computing,machine learning: an applied mathematics introduction

  • Using R for Introductory Statistics (Chapman & Hall/CRC The R Series)


    Price: $61.95 – $38.91
    (as of Jan 22,2025 08:54:17 UTC – Details)




    Publisher ‏ : ‎ Chapman and Hall/CRC; 1st edition (November 29, 2004)
    Language ‏ : ‎ English
    Hardcover ‏ : ‎ 432 pages
    ISBN-10 ‏ : ‎ 1584884509
    ISBN-13 ‏ : ‎ 978-1584884507
    Item Weight ‏ : ‎ 1.6 pounds
    Dimensions ‏ : ‎ 6.75 x 1.25 x 9.5 inches

    Customers say

    Customers find this book provides an easy-to-understand introduction to R and basic statistics. It’s suitable for beginners, using a hands-on approach. Many consider it a helpful reference for their thesis projects and work. However, some customers feel the index is poor.

    AI-generated from the text of customer reviews


    Are you looking to dive into the world of statistics using R? Look no further than “Using R for Introductory Statistics,” part of the Chapman & Hall/CRC The R Series. This comprehensive book is perfect for beginners looking to gain a solid foundation in statistics using the powerful R programming language.

    With step-by-step guidance, clear explanations, and practical examples, this book covers essential statistical concepts such as hypothesis testing, regression analysis, and data visualization using R. Whether you’re a student, researcher, or data analyst, this book will help you develop the skills needed to analyze and interpret data effectively.

    So why wait? Pick up “Using R for Introductory Statistics” today and start mastering the fundamentals of statistics with R.
    #Introductory #Statistics #Chapman #HallCRC #Series,machine learning: an applied mathematics introduction

  • Discovering Statistics Using R


    Price: $42.39
    (as of Jan 21,2025 22:36:31 UTC – Details)




    ASIN ‏ : ‎ B00HPZ4VVM
    Publisher ‏ : ‎ SAGE Publications Ltd; 1st edition (March 7, 2012)
    Publication date ‏ : ‎ March 7, 2012
    Language ‏ : ‎ English
    File size ‏ : ‎ 35221 KB
    Text-to-Speech ‏ : ‎ Enabled
    Screen Reader ‏ : ‎ Supported
    Enhanced typesetting ‏ : ‎ Enabled
    X-Ray ‏ : ‎ Not Enabled
    Word Wise ‏ : ‎ Not Enabled
    Print length ‏ : ‎ 992 pages

    Customers say

    Customers find the book provides an engaging introduction to statistics using R. They appreciate the humor and clear explanations that make the concepts easy to understand. The content is described as excellent, a good guide for R, and a good text book to keep even after exams. Readers mention it covers a wide range of scenarios and techniques, including mixed model analysis, multivariate methods, and data distribution. The R code coverage is helpful and detailed, making it a great resource for ramping up on R. Overall, customers consider the book an exceptional value for the breadth of content.

    AI-generated from the text of customer reviews


    Are you interested in statistics and want to learn how to use R to analyze data? Look no further than “Discovering Statistics Using R”! This comprehensive book provides a step-by-step guide to using R for statistical analysis, making it perfect for beginners and experienced users alike.

    With clear explanations, practical examples, and exercises to reinforce your learning, “Discovering Statistics Using R” will help you master essential statistical techniques and gain a deeper understanding of how to interpret and present your data. Whether you are a student, researcher, or data enthusiast, this book is a valuable resource for anyone looking to harness the power of R for statistical analysis.

    So why wait? Dive into the world of statistics with R and unlock the potential of your data with “Discovering Statistics Using R”!
    #Discovering #Statistics,machine learning: an applied mathematics introduction

  • A Guide to R for Social and Behavioral Science Statistics


    Price: $78.99
    (as of Jan 21,2025 19:25:04 UTC – Details)




    Publisher ‏ : ‎ SAGE Publications, Inc; 1st edition (March 11, 2020)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 304 pages
    ISBN-10 ‏ : ‎ 1544344023
    ISBN-13 ‏ : ‎ 978-1544344027
    Item Weight ‏ : ‎ 1.1 pounds
    Dimensions ‏ : ‎ 7.38 x 0.69 x 9.13 inches


    R is a powerful statistical programming language that is widely used in social and behavioral science research. If you are new to R or looking to improve your skills, this guide is for you. Here are some key tips and resources to help you navigate R for social and behavioral science statistics:

    1. Learn the basics: Before diving into complex statistical analyses, it’s important to familiarize yourself with the basics of R programming. There are many online tutorials and courses available to help you get started.

    2. Understand data manipulation: Data manipulation is a key component of statistical analysis. In R, you can use packages like dplyr and tidyr to manipulate and clean your data before running statistical tests.

    3. Explore data visualization: Data visualization is an essential tool for understanding and communicating your findings. R offers a wide range of packages, such as ggplot2, for creating beautiful and informative visualizations.

    4. Master statistical analysis: R offers a wide range of statistical packages for conducting various analyses, such as regression, ANOVA, and factor analysis. Familiarize yourself with these packages to conduct robust statistical analyses.

    5. Seek help when needed: Don’t hesitate to ask for help when you encounter challenges with R. There are online communities, forums, and resources where you can seek assistance from experienced R users.

    By mastering R for social and behavioral science statistics, you can conduct rigorous and insightful research that contributes to the advancement of your field. Happy coding!
    #Guide #Social #Behavioral #Science #Statistics,machine learning: an applied mathematics introduction

  • An Introduction to Statistics and Data Analysis Using Stata®: From Research Design to Final Report


    Price: $142.00 – $96.33
    (as of Jan 21,2025 18:18:48 UTC – Details)




    Publisher ‏ : ‎ SAGE Publications, Inc; 1st edition (January 29, 2019)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 392 pages
    ISBN-10 ‏ : ‎ 1506371833
    ISBN-13 ‏ : ‎ 978-1506371832
    Item Weight ‏ : ‎ 1.42 pounds
    Dimensions ‏ : ‎ 7.38 x 0.89 x 9.13 inches


    Statistics and data analysis play a crucial role in research, providing valuable insights and guiding decision-making processes. Stata® is a powerful software tool that helps researchers analyze and interpret data effectively. In this post, we will provide an introduction to statistics and data analysis using Stata®, covering everything from research design to the final report.

    Research Design:
    Before diving into data analysis, it is essential to have a clear research design in place. This includes identifying the research question, selecting the appropriate data collection methods, and defining the variables of interest. A well-thought-out research design lays the foundation for a successful data analysis process.

    Data Collection:
    Once the research design is in place, data collection can begin. This may involve surveys, experiments, observations, or other methods of gathering data. It is crucial to ensure that the data collected is accurate, reliable, and relevant to the research question.

    Data Cleaning and Preparation:
    Before analyzing the data, it is important to clean and prepare it for analysis. This may involve checking for missing values, outliers, and inconsistencies in the data. Stata® offers a wide range of tools for data cleaning and manipulation, making it easier to prepare the data for analysis.

    Descriptive Statistics:
    Descriptive statistics provide a summary of the data, including measures of central tendency, dispersion, and distribution. Stata® offers a variety of commands for calculating descriptive statistics, such as mean, median, standard deviation, and histograms.

    Inferential Statistics:
    Inferential statistics allow researchers to draw conclusions and make predictions based on the data. This may involve hypothesis testing, regression analysis, or other statistical techniques. Stata® provides a comprehensive set of tools for conducting inferential statistics, making it easy to analyze complex data sets.

    Interpreting Results:
    Once the data analysis is complete, it is important to interpret the results and draw meaningful conclusions. Stata® offers various options for visualizing and presenting the results, such as graphs, tables, and statistical summaries. It is essential to communicate the findings clearly and accurately in the final report.

    In conclusion, statistics and data analysis are essential components of the research process, providing valuable insights and guiding decision-making. Stata® is a powerful software tool that helps researchers analyze and interpret data effectively. By following the steps outlined in this post, researchers can effectively use Stata® to analyze data from research design to the final report.
    #Introduction #Statistics #Data #Analysis #Stata #Research #Design #Final #Report,machine learning: an applied mathematics introduction

  • A First Course in Bayesian Statistical Methods (Springer Texts in Statistics)


    Price: $84.99 – $45.00
    (as of Jan 21,2025 12:44:01 UTC – Details)




    Publisher ‏ : ‎ Springer; 2009th edition (June 15, 2009)
    Language ‏ : ‎ English
    Hardcover ‏ : ‎ 280 pages
    ISBN-10 ‏ : ‎ 0387922997
    ISBN-13 ‏ : ‎ 978-0387922997
    Item Weight ‏ : ‎ 2.8 pounds
    Dimensions ‏ : ‎ 6.14 x 0.69 x 9.21 inches

    Customers say

    Customers find the book provides a good introduction to Bayesian analysis concepts with clear explanations and examples. They describe the content as excellent, thorough, and motivating. The R code provided is nice. However, some readers feel the book is not an easy introduction and not suitable for first-year courses. There are mixed opinions on the clarity of the text, with some finding it clear and easy to read, while others report errors and typos.

    AI-generated from the text of customer reviews


    Are you looking to dive into the world of Bayesian statistical methods? Look no further than “A First Course in Bayesian Statistical Methods” from the Springer Texts in Statistics series. This comprehensive and accessible textbook covers all the essential topics in Bayesian statistics, from basic concepts to advanced techniques.

    Whether you are a beginner or an experienced statistician, this book will provide you with a solid foundation in Bayesian methods. With clear explanations, numerous examples, and exercises to reinforce your understanding, this book is perfect for self-study or as a textbook for a course in Bayesian statistics.

    Don’t miss out on the opportunity to learn from one of the leading experts in the field. Get your copy of “A First Course in Bayesian Statistical Methods” today and start mastering Bayesian statistics!
    #Bayesian #Statistical #Methods #Springer #Texts #Statistics,machine learning: an applied mathematics introduction

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