Learning Objectives for MIS 131
The objectives of MIS 131 are to prepare students to:
Understand advanced business-applied statistical techniques as applied to managerial decision-making and to present findings in oral and written formats.Develop an intuitive feel for statistical techniques by understanding the underlying assumptions.Use statistical software [StatGraphics Plus Winâand Microsoft® Excel] and interpret computer-generated outputs.
Specific Learning Objectives:
To be able to:
- Present statistical findings orally to audience
- Present statistical findings in a formal, comprehendible written format
- Distinguish between descriptive and inferential statistics and their uses
- Distinguish special causes and common cause of variation
- Summarize sources of data
- Describe the types of data and scales and understand different analyses
- Explain types of samples
- Describe survey process and errors
- Organize, tabulate and graph numerical data
- Construct tables and charts for categorical data
- Create and interpret contingency tables
- Understand differences between good and bad data presentation
- Distinguish between parametric and nonparametric procedures
- State regression modeling assumptions and procedural steps
- Describe residual analysis and application
- Predict the response variable and confidence intervals
- Interpret linear multiple regression computer output
- Explain multicollinearity
- Describe types of multiple regression models and their assumptions
- Describe forecasting and distinguish from predicting
- Explain time series and its components
- Forecast using trend models
- Interpret time series computer output
- Describe total quality management
- Develop control charts for categorical and numerical variables
- Develop an intuitive feel for statistical techniques and their appropriate applications
- Appreciate the misuses of statistics