BUS 277 - Analytical Methods in Business

1. Identify the appropriate statistical test for different research applications.
2. Analyze the outcome of an ANOVA.
3. Use a computer system in order to calculate out multiple regression.

1. Employ the coefficient of correlation to measure association between two quantitative variables.
2. Conduct a hypothesis test to compare the variances of two independent samples.
3. Apply the chi-square distribution for purposes of testing whether or not two nominal-scale (category) variables could be independent.
4. Select and make use of the appropriate hypothesis test in comparing the means of two independent samples.
5. Analyze the difference between sample means when the samples are not independent.
6. Analyze whether the means of more than two quantitative populations are equal (possible approaches include one-way ANOVA and two-way ANOVA).
7. Calculate linear least-squares regression equations summarizing the relationship between two variables mathematically.
8. Calculate and interpret the standard error of the estimate and the coefficient of determination.
9. Perform individual and joint tests of significance on regression coefficients.
10. Demonstrate the ability to estimate multiple regression models and interpret the coefficients.
11. Apply Excel in workshop settings to calculate statistics using large data sets.
12. Report results from statistical case studies in business and economics.

1. Relevance of Statistics
   1. Uniform, Normal Continuous Distributions
   2. Sampling and Interval Estimation
   3. Hypothesis Testing Means
2. Categorical Data Analysis
   1. One-way Chi-Square test
   2. Pearson’s Chi-Square test
3. Correlation and Regression Analysis
   1. Correlation
   2. Simple linear regression
   3. Multiple regression
   4. Goodness-of-fit measures
   5. Regression models with dummy variables
   6. Inference with regression
4. Time Series
   1. Smoothing techniques
   2. Trend Regression
   3. Time Series
5. Design of Experiments and Analysis of Variance (ANOVA)
   1. Single factor ANOVAs
   2. Two factor ANOVAs without interaction
   3. Two factor ANOVAs with interaction
6. Nonparametric Tests
   1. Differences between parametric and nonparametric tests
   2. Spearman Rank Correlation
7. Conducting Statistical Analysis via Software Programs
   1. Applying proper statistical test for case study problems
   2. Using Excel for statistics
8. Results Reporting
   1. Standardized reporting of results
   2. Applications of results to business case studies in various majors