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Tribhuvan University — Faculty of Management Course: STT 201 — Business Statistics Exam Paper Archive: Historical Board Examination Paper (Page 1 of 12) Core Unit / Domain: Descriptive Statistics, Probability & Distributions 1. Board Examination Context & Syllabus Mapping This historical TU board examination page assesses student mastery of fundamental and applied principles in Business Statistics, adhering to official TU Faculty of Management academic standards. 2. Comprehensive Step-by-Step Model Solutions Statistical Measures & Probability Theory • Central Tendency & Dispersion: Mean \bar{X} = \frac{\sum fX}{N}, Median, Mode, Standard Deviation \sigma = \sqrt{\frac{\sum f(X - \bar{X})^2}{N}}, Coefficient of Variation CV = \frac{\sigma}{\bar{X}} \times 100\%. • Probability Distributions: - Binomial Distribution: P(X = r) = \binom{n}{r} p^r q^{n-r}. - Normal Distribution: Standard normal variable Z = \frac{X - \mu}{\sigma}. 3. Academic Synthesis & Key Examination Formulas • Review and apply standard definitions, governing axioms, and mathematical derivations. • Ensure all technical diagrams, step-by-step algorithms, or financial/economic equations are explicitly stated using formal academic notation. • Structure long-form subjective responses using clear section headings, comparative analytical tables, and real-world corporate illustrations. 4. TU Examination Guidance & Marking Scheme • Conceptual Clarity & Definitions: 30% of total allocated marks. • Step-by-Step Numerical / Algorithmic / Analytical Rigor: 50% of marks. • Synthesis, Diagrams & Managerial Application: 20% of marks.

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Tribhuvan University — Faculty of Management Course: STT 201 — Business Statistics Exam Paper Archive: Historical Board Examination Paper (Page 2 of 12) Core Unit / Domain: Correlation, Regression & Hypothesis Testing 1. Board Examination Context & Syllabus Mapping This historical TU board examination page assesses student mastery of fundamental and applied principles in Business Statistics, adhering to official TU Faculty of Management academic standards. 2. Comprehensive Step-by-Step Model Solutions Inferential Statistics: Correlation & Hypothesis Testing • Karl Pearson's Correlation (r): Measures direction and strength of linear relationship (-1 \le r \le +1). • Linear Regression Equations: Line of Y on X: Y - \bar{Y} = b{yx}(X - \bar{X}) where b{yx} = r \frac{\sigmay}{\sigmax}. • Hypothesis Testing: Formulating H0 and H1, significance level \alpha, calculating test statistic (t-test, z-test), comparing with critical table value to accept or reject H_0. 3. Academic Synthesis & Key Examination Formulas • Review and apply standard definitions, governing axioms, and mathematical derivations. • Ensure all technical diagrams, step-by-step algorithms, or financial/economic equations are explicitly stated using formal academic notation. • Structure long-form subjective responses using clear section headings, comparative analytical tables, and real-world corporate illustrations. 4. TU Examination Guidance & Marking Scheme • Conceptual Clarity & Definitions: 30% of total allocated marks. • Step-by-Step Numerical / Algorithmic / Analytical Rigor: 50% of marks. • Synthesis, Diagrams & Managerial Application: 20% of marks.

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Tribhuvan University — Faculty of Management Course: STT 201 — Business Statistics Exam Paper Archive: Historical Board Examination Paper (Page 3 of 12) Core Unit / Domain: Descriptive Statistics, Probability & Distributions 1. Board Examination Context & Syllabus Mapping This historical TU board examination page assesses student mastery of fundamental and applied principles in Business Statistics, adhering to official TU Faculty of Management academic standards. 2. Comprehensive Step-by-Step Model Solutions Statistical Measures & Probability Theory • Central Tendency & Dispersion: Mean \bar{X} = \frac{\sum fX}{N}, Median, Mode, Standard Deviation \sigma = \sqrt{\frac{\sum f(X - \bar{X})^2}{N}}, Coefficient of Variation CV = \frac{\sigma}{\bar{X}} \times 100\%. • Probability Distributions: - Binomial Distribution: P(X = r) = \binom{n}{r} p^r q^{n-r}. - Normal Distribution: Standard normal variable Z = \frac{X - \mu}{\sigma}. 3. Academic Synthesis & Key Examination Formulas • Review and apply standard definitions, governing axioms, and mathematical derivations. • Ensure all technical diagrams, step-by-step algorithms, or financial/economic equations are explicitly stated using formal academic notation. • Structure long-form subjective responses using clear section headings, comparative analytical tables, and real-world corporate illustrations. 4. TU Examination Guidance & Marking Scheme • Conceptual Clarity & Definitions: 30% of total allocated marks. • Step-by-Step Numerical / Algorithmic / Analytical Rigor: 50% of marks. • Synthesis, Diagrams & Managerial Application: 20% of marks.

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Tribhuvan University — Faculty of Management Course: STT 201 — Business Statistics Exam Paper Archive: Historical Board Examination Paper (Page 4 of 12) Core Unit / Domain: Correlation, Regression & Hypothesis Testing 1. Board Examination Context & Syllabus Mapping This historical TU board examination page assesses student mastery of fundamental and applied principles in Business Statistics, adhering to official TU Faculty of Management academic standards. 2. Comprehensive Step-by-Step Model Solutions Inferential Statistics: Correlation & Hypothesis Testing • Karl Pearson's Correlation (r): Measures direction and strength of linear relationship (-1 \le r \le +1). • Linear Regression Equations: Line of Y on X: Y - \bar{Y} = b{yx}(X - \bar{X}) where b{yx} = r \frac{\sigmay}{\sigmax}. • Hypothesis Testing: Formulating H0 and H1, significance level \alpha, calculating test statistic (t-test, z-test), comparing with critical table value to accept or reject H_0. 3. Academic Synthesis & Key Examination Formulas • Review and apply standard definitions, governing axioms, and mathematical derivations. • Ensure all technical diagrams, step-by-step algorithms, or financial/economic equations are explicitly stated using formal academic notation. • Structure long-form subjective responses using clear section headings, comparative analytical tables, and real-world corporate illustrations. 4. TU Examination Guidance & Marking Scheme • Conceptual Clarity & Definitions: 30% of total allocated marks. • Step-by-Step Numerical / Algorithmic / Analytical Rigor: 50% of marks. • Synthesis, Diagrams & Managerial Application: 20% of marks.

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Tribhuvan University — Faculty of Management Course: STT 201 — Business Statistics Exam Paper Archive: Historical Board Examination Paper (Page 5 of 12) Core Unit / Domain: Descriptive Statistics, Probability & Distributions 1. Board Examination Context & Syllabus Mapping This historical TU board examination page assesses student mastery of fundamental and applied principles in Business Statistics, adhering to official TU Faculty of Management academic standards. 2. Comprehensive Step-by-Step Model Solutions Statistical Measures & Probability Theory • Central Tendency & Dispersion: Mean \bar{X} = \frac{\sum fX}{N}, Median, Mode, Standard Deviation \sigma = \sqrt{\frac{\sum f(X - \bar{X})^2}{N}}, Coefficient of Variation CV = \frac{\sigma}{\bar{X}} \times 100\%. • Probability Distributions: - Binomial Distribution: P(X = r) = \binom{n}{r} p^r q^{n-r}. - Normal Distribution: Standard normal variable Z = \frac{X - \mu}{\sigma}. 3. Academic Synthesis & Key Examination Formulas • Review and apply standard definitions, governing axioms, and mathematical derivations. • Ensure all technical diagrams, step-by-step algorithms, or financial/economic equations are explicitly stated using formal academic notation. • Structure long-form subjective responses using clear section headings, comparative analytical tables, and real-world corporate illustrations. 4. TU Examination Guidance & Marking Scheme • Conceptual Clarity & Definitions: 30% of total allocated marks. • Step-by-Step Numerical / Algorithmic / Analytical Rigor: 50% of marks. • Synthesis, Diagrams & Managerial Application: 20% of marks.

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Tribhuvan University — Faculty of Management Course: STT 201 — Business Statistics Exam Paper Archive: Historical Board Examination Paper (Page 6 of 12) Core Unit / Domain: Correlation, Regression & Hypothesis Testing 1. Board Examination Context & Syllabus Mapping This historical TU board examination page assesses student mastery of fundamental and applied principles in Business Statistics, adhering to official TU Faculty of Management academic standards. 2. Comprehensive Step-by-Step Model Solutions Inferential Statistics: Correlation & Hypothesis Testing • Karl Pearson's Correlation (r): Measures direction and strength of linear relationship (-1 \le r \le +1). • Linear Regression Equations: Line of Y on X: Y - \bar{Y} = b{yx}(X - \bar{X}) where b{yx} = r \frac{\sigmay}{\sigmax}. • Hypothesis Testing: Formulating H0 and H1, significance level \alpha, calculating test statistic (t-test, z-test), comparing with critical table value to accept or reject H_0. 3. Academic Synthesis & Key Examination Formulas • Review and apply standard definitions, governing axioms, and mathematical derivations. • Ensure all technical diagrams, step-by-step algorithms, or financial/economic equations are explicitly stated using formal academic notation. • Structure long-form subjective responses using clear section headings, comparative analytical tables, and real-world corporate illustrations. 4. TU Examination Guidance & Marking Scheme • Conceptual Clarity & Definitions: 30% of total allocated marks. • Step-by-Step Numerical / Algorithmic / Analytical Rigor: 50% of marks. • Synthesis, Diagrams & Managerial Application: 20% of marks.

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Tribhuvan University — Faculty of Management Course: STT 201 — Business Statistics Exam Paper Archive: Historical Board Examination Paper (Page 7 of 12) Core Unit / Domain: Descriptive Statistics, Probability & Distributions 1. Board Examination Context & Syllabus Mapping This historical TU board examination page assesses student mastery of fundamental and applied principles in Business Statistics, adhering to official TU Faculty of Management academic standards. 2. Comprehensive Step-by-Step Model Solutions Statistical Measures & Probability Theory • Central Tendency & Dispersion: Mean \bar{X} = \frac{\sum fX}{N}, Median, Mode, Standard Deviation \sigma = \sqrt{\frac{\sum f(X - \bar{X})^2}{N}}, Coefficient of Variation CV = \frac{\sigma}{\bar{X}} \times 100\%. • Probability Distributions: - Binomial Distribution: P(X = r) = \binom{n}{r} p^r q^{n-r}. - Normal Distribution: Standard normal variable Z = \frac{X - \mu}{\sigma}. 3. Academic Synthesis & Key Examination Formulas • Review and apply standard definitions, governing axioms, and mathematical derivations. • Ensure all technical diagrams, step-by-step algorithms, or financial/economic equations are explicitly stated using formal academic notation. • Structure long-form subjective responses using clear section headings, comparative analytical tables, and real-world corporate illustrations. 4. TU Examination Guidance & Marking Scheme • Conceptual Clarity & Definitions: 30% of total allocated marks. • Step-by-Step Numerical / Algorithmic / Analytical Rigor: 50% of marks. • Synthesis, Diagrams & Managerial Application: 20% of marks.

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Tribhuvan University — Faculty of Management Course: STT 201 — Business Statistics Exam Paper Archive: Historical Board Examination Paper (Page 8 of 12) Core Unit / Domain: Correlation, Regression & Hypothesis Testing 1. Board Examination Context & Syllabus Mapping This historical TU board examination page assesses student mastery of fundamental and applied principles in Business Statistics, adhering to official TU Faculty of Management academic standards. 2. Comprehensive Step-by-Step Model Solutions Inferential Statistics: Correlation & Hypothesis Testing • Karl Pearson's Correlation (r): Measures direction and strength of linear relationship (-1 \le r \le +1). • Linear Regression Equations: Line of Y on X: Y - \bar{Y} = b{yx}(X - \bar{X}) where b{yx} = r \frac{\sigmay}{\sigmax}. • Hypothesis Testing: Formulating H0 and H1, significance level \alpha, calculating test statistic (t-test, z-test), comparing with critical table value to accept or reject H_0. 3. Academic Synthesis & Key Examination Formulas • Review and apply standard definitions, governing axioms, and mathematical derivations. • Ensure all technical diagrams, step-by-step algorithms, or financial/economic equations are explicitly stated using formal academic notation. • Structure long-form subjective responses using clear section headings, comparative analytical tables, and real-world corporate illustrations. 4. TU Examination Guidance & Marking Scheme • Conceptual Clarity & Definitions: 30% of total allocated marks. • Step-by-Step Numerical / Algorithmic / Analytical Rigor: 50% of marks. • Synthesis, Diagrams & Managerial Application: 20% of marks.

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Tribhuvan University — Faculty of Management Course: STT 201 — Business Statistics Exam Paper Archive: Historical Board Examination Paper (Page 9 of 12) Core Unit / Domain: Descriptive Statistics, Probability & Distributions 1. Board Examination Context & Syllabus Mapping This historical TU board examination page assesses student mastery of fundamental and applied principles in Business Statistics, adhering to official TU Faculty of Management academic standards. 2. Comprehensive Step-by-Step Model Solutions Statistical Measures & Probability Theory • Central Tendency & Dispersion: Mean \bar{X} = \frac{\sum fX}{N}, Median, Mode, Standard Deviation \sigma = \sqrt{\frac{\sum f(X - \bar{X})^2}{N}}, Coefficient of Variation CV = \frac{\sigma}{\bar{X}} \times 100\%. • Probability Distributions: - Binomial Distribution: P(X = r) = \binom{n}{r} p^r q^{n-r}. - Normal Distribution: Standard normal variable Z = \frac{X - \mu}{\sigma}. 3. Academic Synthesis & Key Examination Formulas • Review and apply standard definitions, governing axioms, and mathematical derivations. • Ensure all technical diagrams, step-by-step algorithms, or financial/economic equations are explicitly stated using formal academic notation. • Structure long-form subjective responses using clear section headings, comparative analytical tables, and real-world corporate illustrations. 4. TU Examination Guidance & Marking Scheme • Conceptual Clarity & Definitions: 30% of total allocated marks. • Step-by-Step Numerical / Algorithmic / Analytical Rigor: 50% of marks. • Synthesis, Diagrams & Managerial Application: 20% of marks.

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Tribhuvan University — Faculty of Management Course: STT 201 — Business Statistics Exam Paper Archive: Historical Board Examination Paper (Page 10 of 12) Core Unit / Domain: Correlation, Regression & Hypothesis Testing 1. Board Examination Context & Syllabus Mapping This historical TU board examination page assesses student mastery of fundamental and applied principles in Business Statistics, adhering to official TU Faculty of Management academic standards. 2. Comprehensive Step-by-Step Model Solutions Inferential Statistics: Correlation & Hypothesis Testing • Karl Pearson's Correlation (r): Measures direction and strength of linear relationship (-1 \le r \le +1). • Linear Regression Equations: Line of Y on X: Y - \bar{Y} = b{yx}(X - \bar{X}) where b{yx} = r \frac{\sigmay}{\sigmax}. • Hypothesis Testing: Formulating H0 and H1, significance level \alpha, calculating test statistic (t-test, z-test), comparing with critical table value to accept or reject H_0. 3. Academic Synthesis & Key Examination Formulas • Review and apply standard definitions, governing axioms, and mathematical derivations. • Ensure all technical diagrams, step-by-step algorithms, or financial/economic equations are explicitly stated using formal academic notation. • Structure long-form subjective responses using clear section headings, comparative analytical tables, and real-world corporate illustrations. 4. TU Examination Guidance & Marking Scheme • Conceptual Clarity & Definitions: 30% of total allocated marks. • Step-by-Step Numerical / Algorithmic / Analytical Rigor: 50% of marks. • Synthesis, Diagrams & Managerial Application: 20% of marks.

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Tribhuvan University — Faculty of Management Course: STT 201 — Business Statistics Exam Paper Archive: Historical Board Examination Paper (Page 11 of 12) Core Unit / Domain: Descriptive Statistics, Probability & Distributions 1. Board Examination Context & Syllabus Mapping This historical TU board examination page assesses student mastery of fundamental and applied principles in Business Statistics, adhering to official TU Faculty of Management academic standards. 2. Comprehensive Step-by-Step Model Solutions Statistical Measures & Probability Theory • Central Tendency & Dispersion: Mean \bar{X} = \frac{\sum fX}{N}, Median, Mode, Standard Deviation \sigma = \sqrt{\frac{\sum f(X - \bar{X})^2}{N}}, Coefficient of Variation CV = \frac{\sigma}{\bar{X}} \times 100\%. • Probability Distributions: - Binomial Distribution: P(X = r) = \binom{n}{r} p^r q^{n-r}. - Normal Distribution: Standard normal variable Z = \frac{X - \mu}{\sigma}. 3. Academic Synthesis & Key Examination Formulas • Review and apply standard definitions, governing axioms, and mathematical derivations. • Ensure all technical diagrams, step-by-step algorithms, or financial/economic equations are explicitly stated using formal academic notation. • Structure long-form subjective responses using clear section headings, comparative analytical tables, and real-world corporate illustrations. 4. TU Examination Guidance & Marking Scheme • Conceptual Clarity & Definitions: 30% of total allocated marks. • Step-by-Step Numerical / Algorithmic / Analytical Rigor: 50% of marks. • Synthesis, Diagrams & Managerial Application: 20% of marks.

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Tribhuvan University — Faculty of Management Course: STT 201 — Business Statistics Exam Paper Archive: Historical Board Examination Paper (Page 12 of 12) Core Unit / Domain: Correlation, Regression & Hypothesis Testing 1. Board Examination Context & Syllabus Mapping This historical TU board examination page assesses student mastery of fundamental and applied principles in Business Statistics, adhering to official TU Faculty of Management academic standards. 2. Comprehensive Step-by-Step Model Solutions Inferential Statistics: Correlation & Hypothesis Testing • Karl Pearson's Correlation (r): Measures direction and strength of linear relationship (-1 \le r \le +1). • Linear Regression Equations: Line of Y on X: Y - \bar{Y} = b{yx}(X - \bar{X}) where b{yx} = r \frac{\sigmay}{\sigmax}. • Hypothesis Testing: Formulating H0 and H1, significance level \alpha, calculating test statistic (t-test, z-test), comparing with critical table value to accept or reject H_0. 3. Academic Synthesis & Key Examination Formulas • Review and apply standard definitions, governing axioms, and mathematical derivations. • Ensure all technical diagrams, step-by-step algorithms, or financial/economic equations are explicitly stated using formal academic notation. • Structure long-form subjective responses using clear section headings, comparative analytical tables, and real-world corporate illustrations. 4. TU Examination Guidance & Marking Scheme • Conceptual Clarity & Definitions: 30% of total allocated marks. • Step-by-Step Numerical / Algorithmic / Analytical Rigor: 50% of marks. • Synthesis, Diagrams & Managerial Application: 20% of marks.

Business Statistics Historical Question Paper Scans (Multi-Year) with Solutions – STT 201

Tribhuvan University

Faculty of Management

Office of the Dean

2020 AD / Regular Examination

Course: STT 201 · Business Statistics

Level: Bachelor of Information Management (BIM) · Semester 3

Time: 3 hrs.

Historical photo scans of 12 examination paper pages from the StudyNotesNepal archive.

Board Examination Scans

Pristine scanned paper images reproduced for offline test preparation.

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Tribhuvan University — Faculty of Management

Course: STT 201 — Business Statistics Exam Paper Archive: Historical Board Examination Paper (Page 1 of 12) Core Unit / Domain: Descriptive Statistics, Probability & Distributions

1. Board Examination Context & Syllabus Mapping

This historical TU board examination page assesses student mastery of fundamental and applied principles in Business Statistics, adhering to official TU Faculty of Management academic standards.

2. Comprehensive Step-by-Step Model Solutions

Statistical Measures & Probability Theory
- Central Tendency & Dispersion: Mean $\bar{X} = \frac{\sum fX}{N}$ , Median, Mode, Standard Deviation $\sigma = \sqrt{\frac{\sum f(X - \bar{X})^2}{N}}$ , Coefficient of Variation $CV = \frac{\sigma}{\bar{X}} \times 100\%$ .
- Probability Distributions:
  
  Binomial Distribution: $P(X = r) = \binom{n}{r} p^r q^{n-r}$ .
  
  Normal Distribution: Standard normal variable $Z = \frac{X - \mu}{\sigma}$ .
3. Academic Synthesis & Key Examination Formulas
- Review and apply standard definitions, governing axioms, and mathematical derivations.
- Ensure all technical diagrams, step-by-step algorithms, or financial/economic equations are explicitly stated using formal academic notation.
- Structure long-form subjective responses using clear section headings, comparative analytical tables, and real-world corporate illustrations.
4. TU Examination Guidance & Marking Scheme
- Conceptual Clarity & Definitions: 30% of total allocated marks.
- Step-by-Step Numerical / Algorithmic / Analytical Rigor: 50% of marks.
- Synthesis, Diagrams & Managerial Application: 20% of marks.
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Tribhuvan University — Faculty of Management

Course: STT 201 — Business Statistics Exam Paper Archive: Historical Board Examination Paper (Page 2 of 12) Core Unit / Domain: Correlation, Regression & Hypothesis Testing

1. Board Examination Context & Syllabus Mapping

This historical TU board examination page assesses student mastery of fundamental and applied principles in Business Statistics, adhering to official TU Faculty of Management academic standards.

2. Comprehensive Step-by-Step Model Solutions

Inferential Statistics: Correlation & Hypothesis Testing
- Karl Pearson’s Correlation ( $r$ ): Measures direction and strength of linear relationship ( $-1 \le r \le +1$ ).
- Linear Regression Equations: Line of $Y$ on $X$ : $Y - \bar{Y} = b_{yx}(X - \bar{X})$ where $b_{yx} = r \frac{\sigma_y}{\sigma_x}$ .
- Hypothesis Testing: Formulating $H_0$ and $H_1$ , significance level $\alpha$ , calculating test statistic ( $t$ -test, $z$ -test), comparing with critical table value to accept or reject $H_0$ .
3. Academic Synthesis & Key Examination Formulas
- Review and apply standard definitions, governing axioms, and mathematical derivations.
- Ensure all technical diagrams, step-by-step algorithms, or financial/economic equations are explicitly stated using formal academic notation.
- Structure long-form subjective responses using clear section headings, comparative analytical tables, and real-world corporate illustrations.
4. TU Examination Guidance & Marking Scheme
- Conceptual Clarity & Definitions: 30% of total allocated marks.
- Step-by-Step Numerical / Algorithmic / Analytical Rigor: 50% of marks.
- Synthesis, Diagrams & Managerial Application: 20% of marks.
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Tribhuvan University — Faculty of Management

Course: STT 201 — Business Statistics Exam Paper Archive: Historical Board Examination Paper (Page 3 of 12) Core Unit / Domain: Descriptive Statistics, Probability & Distributions

1. Board Examination Context & Syllabus Mapping

This historical TU board examination page assesses student mastery of fundamental and applied principles in Business Statistics, adhering to official TU Faculty of Management academic standards.

2. Comprehensive Step-by-Step Model Solutions

Statistical Measures & Probability Theory
- Central Tendency & Dispersion: Mean $\bar{X} = \frac{\sum fX}{N}$ , Median, Mode, Standard Deviation $\sigma = \sqrt{\frac{\sum f(X - \bar{X})^2}{N}}$ , Coefficient of Variation $CV = \frac{\sigma}{\bar{X}} \times 100\%$ .
- Probability Distributions:
  
  Binomial Distribution: $P(X = r) = \binom{n}{r} p^r q^{n-r}$ .
  
  Normal Distribution: Standard normal variable $Z = \frac{X - \mu}{\sigma}$ .
3. Academic Synthesis & Key Examination Formulas
- Review and apply standard definitions, governing axioms, and mathematical derivations.
- Ensure all technical diagrams, step-by-step algorithms, or financial/economic equations are explicitly stated using formal academic notation.
- Structure long-form subjective responses using clear section headings, comparative analytical tables, and real-world corporate illustrations.
4. TU Examination Guidance & Marking Scheme
- Conceptual Clarity & Definitions: 30% of total allocated marks.
- Step-by-Step Numerical / Algorithmic / Analytical Rigor: 50% of marks.
- Synthesis, Diagrams & Managerial Application: 20% of marks.
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Tribhuvan University — Faculty of Management

Course: STT 201 — Business Statistics Exam Paper Archive: Historical Board Examination Paper (Page 4 of 12) Core Unit / Domain: Correlation, Regression & Hypothesis Testing

1. Board Examination Context & Syllabus Mapping

This historical TU board examination page assesses student mastery of fundamental and applied principles in Business Statistics, adhering to official TU Faculty of Management academic standards.

2. Comprehensive Step-by-Step Model Solutions

Inferential Statistics: Correlation & Hypothesis Testing
- Karl Pearson’s Correlation ( $r$ ): Measures direction and strength of linear relationship ( $-1 \le r \le +1$ ).
- Linear Regression Equations: Line of $Y$ on $X$ : $Y - \bar{Y} = b_{yx}(X - \bar{X})$ where $b_{yx} = r \frac{\sigma_y}{\sigma_x}$ .
- Hypothesis Testing: Formulating $H_0$ and $H_1$ , significance level $\alpha$ , calculating test statistic ( $t$ -test, $z$ -test), comparing with critical table value to accept or reject $H_0$ .
3. Academic Synthesis & Key Examination Formulas
- Review and apply standard definitions, governing axioms, and mathematical derivations.
- Ensure all technical diagrams, step-by-step algorithms, or financial/economic equations are explicitly stated using formal academic notation.
- Structure long-form subjective responses using clear section headings, comparative analytical tables, and real-world corporate illustrations.
4. TU Examination Guidance & Marking Scheme
- Conceptual Clarity & Definitions: 30% of total allocated marks.
- Step-by-Step Numerical / Algorithmic / Analytical Rigor: 50% of marks.
- Synthesis, Diagrams & Managerial Application: 20% of marks.
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Tribhuvan University — Faculty of Management

Course: STT 201 — Business Statistics Exam Paper Archive: Historical Board Examination Paper (Page 5 of 12) Core Unit / Domain: Descriptive Statistics, Probability & Distributions

1. Board Examination Context & Syllabus Mapping

This historical TU board examination page assesses student mastery of fundamental and applied principles in Business Statistics, adhering to official TU Faculty of Management academic standards.

2. Comprehensive Step-by-Step Model Solutions

Statistical Measures & Probability Theory
- Central Tendency & Dispersion: Mean $\bar{X} = \frac{\sum fX}{N}$ , Median, Mode, Standard Deviation $\sigma = \sqrt{\frac{\sum f(X - \bar{X})^2}{N}}$ , Coefficient of Variation $CV = \frac{\sigma}{\bar{X}} \times 100\%$ .
- Probability Distributions:
  
  Binomial Distribution: $P(X = r) = \binom{n}{r} p^r q^{n-r}$ .
  
  Normal Distribution: Standard normal variable $Z = \frac{X - \mu}{\sigma}$ .
3. Academic Synthesis & Key Examination Formulas
- Review and apply standard definitions, governing axioms, and mathematical derivations.
- Ensure all technical diagrams, step-by-step algorithms, or financial/economic equations are explicitly stated using formal academic notation.
- Structure long-form subjective responses using clear section headings, comparative analytical tables, and real-world corporate illustrations.
4. TU Examination Guidance & Marking Scheme
- Conceptual Clarity & Definitions: 30% of total allocated marks.
- Step-by-Step Numerical / Algorithmic / Analytical Rigor: 50% of marks.
- Synthesis, Diagrams & Managerial Application: 20% of marks.
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Tribhuvan University — Faculty of Management

Course: STT 201 — Business Statistics Exam Paper Archive: Historical Board Examination Paper (Page 6 of 12) Core Unit / Domain: Correlation, Regression & Hypothesis Testing

1. Board Examination Context & Syllabus Mapping

This historical TU board examination page assesses student mastery of fundamental and applied principles in Business Statistics, adhering to official TU Faculty of Management academic standards.

2. Comprehensive Step-by-Step Model Solutions

Inferential Statistics: Correlation & Hypothesis Testing
- Karl Pearson’s Correlation ( $r$ ): Measures direction and strength of linear relationship ( $-1 \le r \le +1$ ).
- Linear Regression Equations: Line of $Y$ on $X$ : $Y - \bar{Y} = b_{yx}(X - \bar{X})$ where $b_{yx} = r \frac{\sigma_y}{\sigma_x}$ .
- Hypothesis Testing: Formulating $H_0$ and $H_1$ , significance level $\alpha$ , calculating test statistic ( $t$ -test, $z$ -test), comparing with critical table value to accept or reject $H_0$ .
3. Academic Synthesis & Key Examination Formulas
- Review and apply standard definitions, governing axioms, and mathematical derivations.
- Ensure all technical diagrams, step-by-step algorithms, or financial/economic equations are explicitly stated using formal academic notation.
- Structure long-form subjective responses using clear section headings, comparative analytical tables, and real-world corporate illustrations.
4. TU Examination Guidance & Marking Scheme
- Conceptual Clarity & Definitions: 30% of total allocated marks.
- Step-by-Step Numerical / Algorithmic / Analytical Rigor: 50% of marks.
- Synthesis, Diagrams & Managerial Application: 20% of marks.
[10]
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Tribhuvan University — Faculty of Management

Course: STT 201 — Business Statistics Exam Paper Archive: Historical Board Examination Paper (Page 7 of 12) Core Unit / Domain: Descriptive Statistics, Probability & Distributions

1. Board Examination Context & Syllabus Mapping

This historical TU board examination page assesses student mastery of fundamental and applied principles in Business Statistics, adhering to official TU Faculty of Management academic standards.

2. Comprehensive Step-by-Step Model Solutions

Statistical Measures & Probability Theory
- Central Tendency & Dispersion: Mean $\bar{X} = \frac{\sum fX}{N}$ , Median, Mode, Standard Deviation $\sigma = \sqrt{\frac{\sum f(X - \bar{X})^2}{N}}$ , Coefficient of Variation $CV = \frac{\sigma}{\bar{X}} \times 100\%$ .
- Probability Distributions:
  
  Binomial Distribution: $P(X = r) = \binom{n}{r} p^r q^{n-r}$ .
  
  Normal Distribution: Standard normal variable $Z = \frac{X - \mu}{\sigma}$ .
3. Academic Synthesis & Key Examination Formulas
- Review and apply standard definitions, governing axioms, and mathematical derivations.
- Ensure all technical diagrams, step-by-step algorithms, or financial/economic equations are explicitly stated using formal academic notation.
- Structure long-form subjective responses using clear section headings, comparative analytical tables, and real-world corporate illustrations.
4. TU Examination Guidance & Marking Scheme
- Conceptual Clarity & Definitions: 30% of total allocated marks.
- Step-by-Step Numerical / Algorithmic / Analytical Rigor: 50% of marks.
- Synthesis, Diagrams & Managerial Application: 20% of marks.
[10]
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Tribhuvan University — Faculty of Management

Course: STT 201 — Business Statistics Exam Paper Archive: Historical Board Examination Paper (Page 8 of 12) Core Unit / Domain: Correlation, Regression & Hypothesis Testing

1. Board Examination Context & Syllabus Mapping

This historical TU board examination page assesses student mastery of fundamental and applied principles in Business Statistics, adhering to official TU Faculty of Management academic standards.

2. Comprehensive Step-by-Step Model Solutions

Inferential Statistics: Correlation & Hypothesis Testing
- Karl Pearson’s Correlation ( $r$ ): Measures direction and strength of linear relationship ( $-1 \le r \le +1$ ).
- Linear Regression Equations: Line of $Y$ on $X$ : $Y - \bar{Y} = b_{yx}(X - \bar{X})$ where $b_{yx} = r \frac{\sigma_y}{\sigma_x}$ .
- Hypothesis Testing: Formulating $H_0$ and $H_1$ , significance level $\alpha$ , calculating test statistic ( $t$ -test, $z$ -test), comparing with critical table value to accept or reject $H_0$ .
3. Academic Synthesis & Key Examination Formulas
- Review and apply standard definitions, governing axioms, and mathematical derivations.
- Ensure all technical diagrams, step-by-step algorithms, or financial/economic equations are explicitly stated using formal academic notation.
- Structure long-form subjective responses using clear section headings, comparative analytical tables, and real-world corporate illustrations.
4. TU Examination Guidance & Marking Scheme
- Conceptual Clarity & Definitions: 30% of total allocated marks.
- Step-by-Step Numerical / Algorithmic / Analytical Rigor: 50% of marks.
- Synthesis, Diagrams & Managerial Application: 20% of marks.
[10]
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Tribhuvan University — Faculty of Management

Course: STT 201 — Business Statistics Exam Paper Archive: Historical Board Examination Paper (Page 9 of 12) Core Unit / Domain: Descriptive Statistics, Probability & Distributions

1. Board Examination Context & Syllabus Mapping

This historical TU board examination page assesses student mastery of fundamental and applied principles in Business Statistics, adhering to official TU Faculty of Management academic standards.

2. Comprehensive Step-by-Step Model Solutions

Statistical Measures & Probability Theory
- Central Tendency & Dispersion: Mean $\bar{X} = \frac{\sum fX}{N}$ , Median, Mode, Standard Deviation $\sigma = \sqrt{\frac{\sum f(X - \bar{X})^2}{N}}$ , Coefficient of Variation $CV = \frac{\sigma}{\bar{X}} \times 100\%$ .
- Probability Distributions:
  
  Binomial Distribution: $P(X = r) = \binom{n}{r} p^r q^{n-r}$ .
  
  Normal Distribution: Standard normal variable $Z = \frac{X - \mu}{\sigma}$ .
3. Academic Synthesis & Key Examination Formulas
- Review and apply standard definitions, governing axioms, and mathematical derivations.
- Ensure all technical diagrams, step-by-step algorithms, or financial/economic equations are explicitly stated using formal academic notation.
- Structure long-form subjective responses using clear section headings, comparative analytical tables, and real-world corporate illustrations.
4. TU Examination Guidance & Marking Scheme
- Conceptual Clarity & Definitions: 30% of total allocated marks.
- Step-by-Step Numerical / Algorithmic / Analytical Rigor: 50% of marks.
- Synthesis, Diagrams & Managerial Application: 20% of marks.
[10]
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Tribhuvan University — Faculty of Management

Course: STT 201 — Business Statistics Exam Paper Archive: Historical Board Examination Paper (Page 10 of 12) Core Unit / Domain: Correlation, Regression & Hypothesis Testing

1. Board Examination Context & Syllabus Mapping

This historical TU board examination page assesses student mastery of fundamental and applied principles in Business Statistics, adhering to official TU Faculty of Management academic standards.

2. Comprehensive Step-by-Step Model Solutions

Inferential Statistics: Correlation & Hypothesis Testing
- Karl Pearson’s Correlation ( $r$ ): Measures direction and strength of linear relationship ( $-1 \le r \le +1$ ).
- Linear Regression Equations: Line of $Y$ on $X$ : $Y - \bar{Y} = b_{yx}(X - \bar{X})$ where $b_{yx} = r \frac{\sigma_y}{\sigma_x}$ .
- Hypothesis Testing: Formulating $H_0$ and $H_1$ , significance level $\alpha$ , calculating test statistic ( $t$ -test, $z$ -test), comparing with critical table value to accept or reject $H_0$ .
3. Academic Synthesis & Key Examination Formulas
- Review and apply standard definitions, governing axioms, and mathematical derivations.
- Ensure all technical diagrams, step-by-step algorithms, or financial/economic equations are explicitly stated using formal academic notation.
- Structure long-form subjective responses using clear section headings, comparative analytical tables, and real-world corporate illustrations.
4. TU Examination Guidance & Marking Scheme
- Conceptual Clarity & Definitions: 30% of total allocated marks.
- Step-by-Step Numerical / Algorithmic / Analytical Rigor: 50% of marks.
- Synthesis, Diagrams & Managerial Application: 20% of marks.
[10]
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Tribhuvan University — Faculty of Management

Course: STT 201 — Business Statistics Exam Paper Archive: Historical Board Examination Paper (Page 11 of 12) Core Unit / Domain: Descriptive Statistics, Probability & Distributions

1. Board Examination Context & Syllabus Mapping

This historical TU board examination page assesses student mastery of fundamental and applied principles in Business Statistics, adhering to official TU Faculty of Management academic standards.

2. Comprehensive Step-by-Step Model Solutions

Statistical Measures & Probability Theory
- Central Tendency & Dispersion: Mean $\bar{X} = \frac{\sum fX}{N}$ , Median, Mode, Standard Deviation $\sigma = \sqrt{\frac{\sum f(X - \bar{X})^2}{N}}$ , Coefficient of Variation $CV = \frac{\sigma}{\bar{X}} \times 100\%$ .
- Probability Distributions:
  
  Binomial Distribution: $P(X = r) = \binom{n}{r} p^r q^{n-r}$ .
  
  Normal Distribution: Standard normal variable $Z = \frac{X - \mu}{\sigma}$ .
3. Academic Synthesis & Key Examination Formulas
- Review and apply standard definitions, governing axioms, and mathematical derivations.
- Ensure all technical diagrams, step-by-step algorithms, or financial/economic equations are explicitly stated using formal academic notation.
- Structure long-form subjective responses using clear section headings, comparative analytical tables, and real-world corporate illustrations.
4. TU Examination Guidance & Marking Scheme
- Conceptual Clarity & Definitions: 30% of total allocated marks.
- Step-by-Step Numerical / Algorithmic / Analytical Rigor: 50% of marks.
- Synthesis, Diagrams & Managerial Application: 20% of marks.
[10]
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Tribhuvan University — Faculty of Management

Course: STT 201 — Business Statistics Exam Paper Archive: Historical Board Examination Paper (Page 12 of 12) Core Unit / Domain: Correlation, Regression & Hypothesis Testing

1. Board Examination Context & Syllabus Mapping

This historical TU board examination page assesses student mastery of fundamental and applied principles in Business Statistics, adhering to official TU Faculty of Management academic standards.

2. Comprehensive Step-by-Step Model Solutions

Inferential Statistics: Correlation & Hypothesis Testing
- Karl Pearson’s Correlation ( $r$ ): Measures direction and strength of linear relationship ( $-1 \le r \le +1$ ).
- Linear Regression Equations: Line of $Y$ on $X$ : $Y - \bar{Y} = b_{yx}(X - \bar{X})$ where $b_{yx} = r \frac{\sigma_y}{\sigma_x}$ .
- Hypothesis Testing: Formulating $H_0$ and $H_1$ , significance level $\alpha$ , calculating test statistic ( $t$ -test, $z$ -test), comparing with critical table value to accept or reject $H_0$ .
3. Academic Synthesis & Key Examination Formulas
- Review and apply standard definitions, governing axioms, and mathematical derivations.
- Ensure all technical diagrams, step-by-step algorithms, or financial/economic equations are explicitly stated using formal academic notation.
- Structure long-form subjective responses using clear section headings, comparative analytical tables, and real-world corporate illustrations.
4. TU Examination Guidance & Marking Scheme
- Conceptual Clarity & Definitions: 30% of total allocated marks.
- Step-by-Step Numerical / Algorithmic / Analytical Rigor: 50% of marks.
- Synthesis, Diagrams & Managerial Application: 20% of marks.

Past exam papers

Business Statistics Historical Question Paper Scans (Multi-Year)

Tribhuvan University — Faculty of Management

1. Board Examination Context & Syllabus Mapping

2. Comprehensive Step-by-Step Model Solutions

Statistical Measures & Probability Theory

3. Academic Synthesis & Key Examination Formulas

4. TU Examination Guidance & Marking Scheme

Tribhuvan University — Faculty of Management

1. Board Examination Context & Syllabus Mapping

2. Comprehensive Step-by-Step Model Solutions

Inferential Statistics: Correlation & Hypothesis Testing

3. Academic Synthesis & Key Examination Formulas

4. TU Examination Guidance & Marking Scheme

Tribhuvan University — Faculty of Management

1. Board Examination Context & Syllabus Mapping

2. Comprehensive Step-by-Step Model Solutions

Statistical Measures & Probability Theory

3. Academic Synthesis & Key Examination Formulas

4. TU Examination Guidance & Marking Scheme

Tribhuvan University — Faculty of Management

1. Board Examination Context & Syllabus Mapping

2. Comprehensive Step-by-Step Model Solutions

Inferential Statistics: Correlation & Hypothesis Testing

3. Academic Synthesis & Key Examination Formulas

4. TU Examination Guidance & Marking Scheme

Tribhuvan University — Faculty of Management

1. Board Examination Context & Syllabus Mapping

2. Comprehensive Step-by-Step Model Solutions

Statistical Measures & Probability Theory

3. Academic Synthesis & Key Examination Formulas

4. TU Examination Guidance & Marking Scheme

Tribhuvan University — Faculty of Management

1. Board Examination Context & Syllabus Mapping

2. Comprehensive Step-by-Step Model Solutions

Inferential Statistics: Correlation & Hypothesis Testing

3. Academic Synthesis & Key Examination Formulas

4. TU Examination Guidance & Marking Scheme

Tribhuvan University — Faculty of Management

1. Board Examination Context & Syllabus Mapping

2. Comprehensive Step-by-Step Model Solutions

Statistical Measures & Probability Theory

3. Academic Synthesis & Key Examination Formulas

4. TU Examination Guidance & Marking Scheme

Tribhuvan University — Faculty of Management

1. Board Examination Context & Syllabus Mapping

2. Comprehensive Step-by-Step Model Solutions

Inferential Statistics: Correlation & Hypothesis Testing

3. Academic Synthesis & Key Examination Formulas

4. TU Examination Guidance & Marking Scheme

Tribhuvan University — Faculty of Management

1. Board Examination Context & Syllabus Mapping

2. Comprehensive Step-by-Step Model Solutions

Statistical Measures & Probability Theory

3. Academic Synthesis & Key Examination Formulas

4. TU Examination Guidance & Marking Scheme

Tribhuvan University — Faculty of Management

1. Board Examination Context & Syllabus Mapping

2. Comprehensive Step-by-Step Model Solutions

Inferential Statistics: Correlation & Hypothesis Testing

3. Academic Synthesis & Key Examination Formulas

4. TU Examination Guidance & Marking Scheme

Tribhuvan University — Faculty of Management

1. Board Examination Context & Syllabus Mapping

2. Comprehensive Step-by-Step Model Solutions

Statistical Measures & Probability Theory

3. Academic Synthesis & Key Examination Formulas

4. TU Examination Guidance & Marking Scheme

Tribhuvan University — Faculty of Management

1. Board Examination Context & Syllabus Mapping

2. Comprehensive Step-by-Step Model Solutions

Inferential Statistics: Correlation & Hypothesis Testing

3. Academic Synthesis & Key Examination Formulas

4. TU Examination Guidance & Marking Scheme