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Business Statistics syllabus

STT 2019 units · 49 topicsAcademic year 2083/84
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Business Statistics

9 units

1. Describing Data using Graphs and Tables (4 LHs)

  1. Uses and scope of statistics in business and management
    1. Uses and scope of statistics in business and management
  2. Frequency distribution
    1. Frequency distribution
  3. Stem- and-leaf plots
    1. Stem- and-leaf plots
  4. Diagrams
    1. Diagrams (Simple bar diagram, Sub-divided bar diagram, Multiple bar diagram, and Pie-chart) and graphical presentation of frequency distribution – Histogram
    2. Ogive curve
  5. Problems using Excel
    1. Problems using Excel.

2. Describing Data Using Numerical Measures (9 LHs)

  1. Measures of central tendency
    1. Measures of central tendency (Mean, Median and Mode), Partition values (Quartiles, Deciles and Percentiles)
  2. Measures of variation (Range, Inter quartile Range, Quartile deviations, Standard deviation)
    1. Measures of variation (Range, Inter quartile Range, Quartile deviations, Standard deviation)
  3. Variance and Coefficient of Variation
    1. Variance and Coefficient of Variation
  4. Measurement of skewness
    1. Measurement of skewness (Karl Pearson coefficient of skewness and Bowley coefficient of skewness)
  5. Measurement of kurtosis (Percentile coefficient of kurtosis)
    1. Measurement of kurtosis (Percentile coefficient of kurtosis)
  6. Five number summery, Box- and -Whisker plot, Problems using Excel
    1. Five number summery, Box- and -Whisker plot, Problems using Excel.

3. Simple Linear Correlation Analysis (5 LHs)

  1. Introduction
    1. Introduction
    2. Scatter plot
  2. Karl Pearson’s correlation coefficient including bi-variate frequency distribution
    1. Karl Pearson’s correlation coefficient including bi-variate frequency distribution
  3. Coefficient of determination
    1. Coefficient of determination
  4. Test of significance of sample correlation coefficient using probable error
    1. Test of significance of sample correlation coefficient using probable error
  5. Spearman’s rank correlation coefficient
    1. Spearman’s rank correlation coefficient
  6. Problems using Excel
    1. Problems using Excel.

4. Simple Linear Regression Analysis (4 LHs)

  1. Introduction
    1. Introduction
  2. Simple linear regression models
    1. Simple linear regression models
  3. Assumptions of linear regression model
    1. Assumptions of linear regression model
    2. Line of best fit
  4. Linear regression model by least-squares method
    1. Linear regression model by least-squares method
  5. Interpretation of regression coefficients
    1. Interpretation of regression coefficients
  6. Properties of regression coefficient
    1. Properties of regression coefficient
  7. Regression coefficient for bi- variate frequency distribution
    1. regression coefficient for bi- variate frequency distribution
  8. Problems using Excel
    1. Problems using Excel.

5. Probability (4 LHs)

  1. Introduction
    1. Introduction, Sample space and events, Probability, Laws of probability, Conditional probability, Problems using Excel.

6. Probability Distributions (6 LHs)

  1. Introduction
    1. Introduction
  2. Discrete probability distribution (Binomial distribution and Poisson distribution)
    1. Discrete probability distribution (Binomial distribution and Poisson distribution)
  3. Continuous probability distribution (Normal distribution)
    1. Continuous probability distribution (Normal distribution)
  4. Problems using Excel
    1. Problems using Excel.

7. Sampling Theory (3 LHs)

  1. Introduction
    1. Introduction
  2. Population and sample
    1. Population and sample
  3. Objectives of sampling
    1. Objectives of sampling
    2. Sampling techniques
  4. Sampling and non-sampling errors
    1. Sampling and non-sampling errors
    2. Standard error
  5. Concept of central limit theorem
    1. Concept of central limit theorem.

8. Estimation (6 LHs)

  1. Introduction
    1. Introduction
  2. Properties of good estimator (Consistency, Unbiasedness, Efficiency and Sufficiency)
    1. Properties of good estimator (Consistency, Unbiasedness, Efficiency and Sufficiency)
  3. Point and interval estimates
    1. Point and interval estimates
    2. Level of confidence
  4. Confidence interval estimates for mean and proportion
    1. Confidence interval estimates for mean and proportion
  5. Determination of sample size for mean and proportion
    1. Determination of sample size for mean and proportion
  6. Problems using Excel
    1. Problems using Excel.

9. Introduction to Hypothesis Testing (7 LHs)

  1. Introduction
    1. Introduction
  2. Steps of hypothesis testing
    1. Steps of hypothesis testing
  3. Level of significance
    1. Level of significance
    2. Critical region
  4. One tailed test and two tailed test
    1. One tailed test and two tailed test
  5. Hypothesis testing using critical value and p-value approaches
    1. Hypothesis testing using critical value and p-value approaches
  6. Test of significance for large samples (Z-test)
    1. Test of significance for large samples (Z-test): Test of significance of a single mean and difference between two means
  7. Test of significance of a single proportion and difference between two proportions
    1. Test of significance of a single proportion and difference between two proportions
  8. Problems using Excel
    1. Problems using Excel.