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Have Doubts Regarding This Product ? Ask Your Question

  • Q1
    What is the target audience for this book?
    A1

    This textbook is specifically designed for BCA (Bachelor of Computer Applications) 1st-semester students at Panjab University, Chandigarh.

  • Q2
    What topics are covered in this book?
    A2

    The book covers essential topics including Basic Statistics, Collection and Organization of Data, Presentation of Data, Measures of Central Tendency, Measures of Dispersion, Correlation Analysis, and Regression Analysis.

  • Q3
    Is this textbook aligned with the NEP syllabus?
    A3

    Yes, this textbook is meticulously crafted to align with the NEP (National Education Policy) syllabus for BCA 1st-semester students.

  • Q4
    How is the exam structured for this subject?
    A4

    The exam consists of a total of 100 marks, with 90 marks allocated for theory and 10 marks for internal assessment. Students will have 3 hours to complete the exam.

  • Q5
    Are there any specific requirements for the exam?
    A5

    Students are allowed to use only Basic (non-programmable) calculators and log tables during the exam. It is also important to note the exam consists of four units, with a compulsory question covering the entire syllabus.

  • Q6
    What mathematical concepts does the book emphasize?
    A6

    This textbook emphasizes key concepts such as measures of central tendency (mean, median, mode), measures of dispersion (variance, standard deviation), correlation analysis, and regression analysis.

  • Q7
    Are there any practical applications included?
    A7

    Yes, the textbook connects theoretical concepts to practical applications, allowing students to understand how statistical techniques are used in real-world scenarios.

  • Q8
    Is this book suitable for other undergraduate programs?
    A8

    While tailored for BCA students, the foundational concepts and principles in this book make it suitable for other undergraduate programs that require an understanding of basic statistics.

  • Q9
    Can this book help with future academic pursuits?
    A9

    Absolutely! The concepts and skills developed through this textbook will provide a strong foundation for advanced studies in data analysis, research, and various disciplines where statistics is applicable.

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1.Basic Statistics
2.Collection and Organization of data 
3.Presentation of data
4.Measures of central tendency 
5.Measures of dispersion 
6.Correlation Analysis 
7.Regression Analysis
Total Marks : 100
Theory : 90
Internal marks : 10
Time duration : 3 Hours  


Note :-
(i)The Question paper will consist of Four units.
(ii)Examiner will set total of NINE questions comprising TWO questions from each Unit and ONE compulsory question of short answer type covering whole syllabi.
(iii)The students are required to attempt ONE question from each Unit and the Compulsory question.
(iv)All questions carry equal marks unless specified.
(v)The student can use only Basic(Non-programmable) type of Calculator.
(vi)Log tables are allowed. Students may be Provided the same for computation.



Unit - 1
Basic statistics : Types of Statistics, Different statistical Techniques, Steps in Statistical Investigation, Uses and limitations of statistics, Collection of Data, Sources of Collecting primary and secondary data Limitations of secondary data, Criteria of evaluating secondary data, Organization of data, graphs of grouped frequency distribution, Tabulation of Data, Parts of Table.

Measures of Central Tendency : kinds of measures of central tendency (statistical averages of averages):

Arithmetic mean : Simple Arithmetic mean, methods of calculating simple arithmetic mean, Arithmetic mean in case if individual series, Discrete series and continuous series, Weighted Arithmetic Mean, Combined Arithmetic mean.

Geometric Mean : Simple Geometric Mean, Methods of calculating simple geometric mean, Geometric Mean in case of individual series, Discrete series and continuous series, Weighted Arithmetic mean, combined geometric mean. 

Harmonic mean : Simple Harmonic mean, Methods of calculating simple Harmonic mean, Harmonic mean in case of individual, Discrete series and continuous series. Weighted Harmonic mean, Combined Harmonic mean.


Unit - 2
Medium : Methods of calculating median in case of individual, Discrete series and continuous series. 
Partition Value : Quartile, Quintiles, Hexiles, Septiles, Octiles, Deciles, Percentiles.
Mode : Methods of calculating Mode in case of Individual series, Discrete series and continuous series.  
Range : Computation of Range, Inter Quartile Range, Computation of Inter quartile range, Percentile range and Computation of Percentile Range.
Mean Deviation : Computation of mean deviation, Standard Deviation, Calculation of standard Deviation, variance, Calculation of standard Deviation and coefficient of variation, Combined standard Deviation, Correcting incorrect standard deviation.



Unit - 3
Correlation analysis : Correlation Analysis : Definition, Types of Correlation : Positive, Negative, Simple. Multiple, partial, total, Linear and non-linear. Need of correlation Analysis, Correlation and causation, Techniques for measuring correlation : Scatter Diagram method, graphic method, Karl Pearson's coefficient of correlation correcting incorrect coefficient of correlation, Calculating karl Pearson's coefficient of correlation : Calculation of correct Coefficient of rank correlation. Difference between rank Coefficient and karl Pearson's coefficient, Coefficient of concurrent deviation.


Unit - 4 
Regression Analysis : Definition, Difference between correlation and regression, Types of Regression analysis : Simple, Multiple, partial, Total, Linear and non-linear, objectives of regression analysis, methods of obtaining regression analysis : Regression lines, Regression Equations. Methods of obtaining regression equations and regression coefficient, properties of regression coefficient, Standard error of estimate, Regression Coefficient in case of grouped data, uses of regression Analysis and Limitations of Regression Analysis. 

Unlock the power of data with the Precize Fundamentals of Mathematical Statistics, a pivotal textbook designed to cater to the needs of BCA 1st-year students at Panjab University, Chandigarh. Authored by the esteemed team of GS Sandhu, Sanjeev Kumar, Manjeel Kumar, and Nisha, this book is meticulously structured to align with the NEP syllabus, ensuring it provides a robust foundation in mathematical statistics vital for future academic success.



Statistics has become an essential aspect of various fields, including business, economics, social sciences, and data analysis. Whether you're pursuing a Bachelor of Computer Applications or a Bachelor of Commerce, this textbook bridges the gap between theoretical concepts and practical application, making it a crucial resource for students aspiring to excel in their respective disciplines.



The Precize Fundamentals of Mathematical Statistics introduces students to the fundamental principles and methods of statistical analysis. It begins by covering basic statistical concepts, helping students familiarize themselves with essential terms and definitions. From there, the authors take a pragmatic approach to teaching the collection and organization of data, underscoring the importance of these skills in real-world applications and research methodologies.



Understanding how to present data effectively is also central to this textbook. Readers will learn key techniques for visualizing data, such as charts and graphs, which enhance the clarity and impact of their findings. As they progress, students will delve into measures of central tendency, exploring important statistical metrics such as the mean, median, and mode, which provide insights into data distributions.



In addition to central tendency, the book emphasizes measures of dispersion, equipping students with the tools to understand data variability. Concepts like variance and standard deviation are thoroughly explored, enabling learners to assess the spread of their data comprehensively.



The Precize Fundamentals of Mathematical Statistics also includes comprehensive sections on correlation and regression analysis. These topics introduce students to the interpretation of relationships between variables, a skill that is increasingly valuable in a world that relies heavily on data-driven decision-making. By learning how to analyze and model data, students will be well-prepared to tackle complex problems and perform insightful statistical analyses.


1.Basic Statistics
2.Collection and Organization of data 
3.Presentation of data
4.Measures of central tendency 
5.Measures of dispersion 
6.Correlation Analysis 
7.Regression Analysis

Have Doubts Regarding This Product ? Ask Your Question

  • Q1
    What is the target audience for this book?
    A1

    This textbook is specifically designed for BCA (Bachelor of Computer Applications) 1st-semester students at Panjab University, Chandigarh.

  • Q2
    What topics are covered in this book?
    A2

    The book covers essential topics including Basic Statistics, Collection and Organization of Data, Presentation of Data, Measures of Central Tendency, Measures of Dispersion, Correlation Analysis, and Regression Analysis.

  • Q3
    Is this textbook aligned with the NEP syllabus?
    A3

    Yes, this textbook is meticulously crafted to align with the NEP (National Education Policy) syllabus for BCA 1st-semester students.

  • Q4
    How is the exam structured for this subject?
    A4

    The exam consists of a total of 100 marks, with 90 marks allocated for theory and 10 marks for internal assessment. Students will have 3 hours to complete the exam.

  • Q5
    Are there any specific requirements for the exam?
    A5

    Students are allowed to use only Basic (non-programmable) calculators and log tables during the exam. It is also important to note the exam consists of four units, with a compulsory question covering the entire syllabus.

  • Q6
    What mathematical concepts does the book emphasize?
    A6

    This textbook emphasizes key concepts such as measures of central tendency (mean, median, mode), measures of dispersion (variance, standard deviation), correlation analysis, and regression analysis.

  • Q7
    Are there any practical applications included?
    A7

    Yes, the textbook connects theoretical concepts to practical applications, allowing students to understand how statistical techniques are used in real-world scenarios.

  • Q8
    Is this book suitable for other undergraduate programs?
    A8

    While tailored for BCA students, the foundational concepts and principles in this book make it suitable for other undergraduate programs that require an understanding of basic statistics.

  • Q9
    Can this book help with future academic pursuits?
    A9

    Absolutely! The concepts and skills developed through this textbook will provide a strong foundation for advanced studies in data analysis, research, and various disciplines where statistics is applicable.

Total Marks : 100
Theory : 90
Internal marks : 10
Time duration : 3 Hours  


Note :-
(i)The Question paper will consist of Four units.
(ii)Examiner will set total of NINE questions comprising TWO questions from each Unit and ONE compulsory question of short answer type covering whole syllabi.
(iii)The students are required to attempt ONE question from each Unit and the Compulsory question.
(iv)All questions carry equal marks unless specified.
(v)The student can use only Basic(Non-programmable) type of Calculator.
(vi)Log tables are allowed. Students may be Provided the same for computation.



Unit - 1
Basic statistics : Types of Statistics, Different statistical Techniques, Steps in Statistical Investigation, Uses and limitations of statistics, Collection of Data, Sources of Collecting primary and secondary data Limitations of secondary data, Criteria of evaluating secondary data, Organization of data, graphs of grouped frequency distribution, Tabulation of Data, Parts of Table.

Measures of Central Tendency : kinds of measures of central tendency (statistical averages of averages):

Arithmetic mean : Simple Arithmetic mean, methods of calculating simple arithmetic mean, Arithmetic mean in case if individual series, Discrete series and continuous series, Weighted Arithmetic Mean, Combined Arithmetic mean.

Geometric Mean : Simple Geometric Mean, Methods of calculating simple geometric mean, Geometric Mean in case of individual series, Discrete series and continuous series, Weighted Arithmetic mean, combined geometric mean. 

Harmonic mean : Simple Harmonic mean, Methods of calculating simple Harmonic mean, Harmonic mean in case of individual, Discrete series and continuous series. Weighted Harmonic mean, Combined Harmonic mean.


Unit - 2
Medium : Methods of calculating median in case of individual, Discrete series and continuous series. 
Partition Value : Quartile, Quintiles, Hexiles, Septiles, Octiles, Deciles, Percentiles.
Mode : Methods of calculating Mode in case of Individual series, Discrete series and continuous series.  
Range : Computation of Range, Inter Quartile Range, Computation of Inter quartile range, Percentile range and Computation of Percentile Range.
Mean Deviation : Computation of mean deviation, Standard Deviation, Calculation of standard Deviation, variance, Calculation of standard Deviation and coefficient of variation, Combined standard Deviation, Correcting incorrect standard deviation.



Unit - 3
Correlation analysis : Correlation Analysis : Definition, Types of Correlation : Positive, Negative, Simple. Multiple, partial, total, Linear and non-linear. Need of correlation Analysis, Correlation and causation, Techniques for measuring correlation : Scatter Diagram method, graphic method, Karl Pearson's coefficient of correlation correcting incorrect coefficient of correlation, Calculating karl Pearson's coefficient of correlation : Calculation of correct Coefficient of rank correlation. Difference between rank Coefficient and karl Pearson's coefficient, Coefficient of concurrent deviation.


Unit - 4 
Regression Analysis : Definition, Difference between correlation and regression, Types of Regression analysis : Simple, Multiple, partial, Total, Linear and non-linear, objectives of regression analysis, methods of obtaining regression analysis : Regression lines, Regression Equations. Methods of obtaining regression equations and regression coefficient, properties of regression coefficient, Standard error of estimate, Regression Coefficient in case of grouped data, uses of regression Analysis and Limitations of Regression Analysis. 

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