MA 133 -- Business Statistics

Computer Software: Microsoft Excel

1. Introduction to Statistics
   a)      Summarizing qualitative and quantitative data
   b)      Descriptive vs. Inferential statistics
   c)      Statistical analysis using Excel
   
   
2. Descriptive Statistics
   a) Graphical Methods
   i)        Frequency distributions, bar graphs, pie charts, histograms and ogives
   ii)       Stem-and-leaf display
   iii)      Cross-tabulation and scatter diagram
   iv)      Box-and-Whiskers Plot
   b) Numerical Methods
   i)       Measures of central tendency: mean, mode, median
   ii)      Percentiles
   iii)     Measures of variability: range, variance and standard deviation
   iv)     Chebychev's Theorem and its applications
   v)      Bell-shaped distributions and Empirical Rule. Applicatons
   vi)     Measures of relative location. Z-scores
   
   
3. Introduction to Probability
   a) Experiments, sample spaces and assigning probabilities
   b) Events and their probabilities
   c) Counting techniques: Permutations and combinations
   d) Mutually exclusive events
   e) Conditional probability and independent events
   f)  Bayes' Theorem and its applications (optional)
   g) Normal probability distribution and applications 
   
   
4. Estimation and Sampling
   a) Random sampling and other sampling methods
   b) Introduction to sampling distributions
   c) Central Limit Theorem
   d) Construction of confidence intervals for means and proportions
   e) Determining optimal sample size
   
   
5. Introduction to Hypothesis Testing
   a) Null and Alternative Hypotheses
   b) One-Tail and Two-Tail Tests for population means and proportions
   c) Comparisons involving population means and proportions
   d) Introduction to ANOVA (optional)
   e) Chi-square distribution (optional)
   
   
6. Introduction to Correlation and Regression Analysis
   a) Correlation coefficient
   b) Simple linear regression
   c) Least Square Method
   d) Multiple regression
   e) Using regression for estimation and prediction