Business Statistics syllabus

Business Statistics

• 1 Describing Data Using Graphs and Tables (4 LHs)

  • Statistics in Business and Data Collection
  • Frequency Distribution and Stem-and-Leaf Plots
  • Diagrams, Graphs, and Ogive Curve
• 2 Describing Data Using Numerical Measures (9 LHs)

  • Measures of Central Tendency
  • Partition Values
  • Measures of Variation
  • Variance and Standard Deviation
  • Coefficient of Variation, Skewness, and Kurtosis
  • Five-number Summary and Box-Whisker Plot
• 3 Probability (5 LHs)

  • Sample Space and Events
  • Probability and Laws of Probability
  • Conditional Probability and Bayes' Theorem
• 4 Probability Distributions (5 LHs)

  • Random Variable and Mathematical Expectation
  • Binomial, Poisson, and Normal Distributions
• 5 Sampling Theory and Sampling Distributions (4 LHs)

  • Population, Sample, and Sampling Methods
  • Central Limit Theorem
  • Sampling Distribution of Mean and Proportion
• 6 Estimation (5 LHs)

  • Estimation and Properties of a Good Estimator
  • Point and Interval Estimates
  • Margin of Error and Confidence Levels
  • Confidence Intervals for Mean and Proportion
• 7 Introduction to Hypothesis Testing (7 LHs)

  • Concept and Steps of Hypothesis Testing
  • Tests for Mean and Proportions for Large Samples
  • Critical Value, Confidence Limit, and p-value Approaches
• 8 Simple Linear Correlation (5 LHs)

  • Scatter Plot and Measures of Correlation
  • Pearson Correlation Coefficient
  • Significance Testing Using Probable Error
  • Spearman Rank Correlation Coefficient
• 9 Simple Linear Regression (4 LHs)

  • Linear Models and Assumptions
  • Least-squares Linear Regression Model
  • Interpretation of Regression Coefficient