Business Statistics and Data Analysis
3 Days

Course Description and Audience:
BSDA is for Marketing, Sales, HR, Business Analysts and Managers who routinely
analyze data for business application.  Areas of focus are foundation statistics,
distribution analysis, capability assessment, graphing, prediction, forecasting,
comparison tests, sample size selection and model fitting.

Course Objectives:
Upon completion of the course the participants will be able to:

  1. Understand the ideas associated with sampling and data collection.
  2. Demonstrate the ability to evaluate distributions.
  3. Select appropriate sample sizes for performance evaluation.
  4. Conduct comparative tests using data.                            
  5. Use regression techniques in order to analyze the results and make performance improvements.
  6. Select an appropriate analysis technique based on the type of data.

Software:  JMP
Prerequisites:  None

Detailed Course Outline:

Introduction to (JMP)                                                              
Table commands                                                           
Column commands                                                        
Row commands                                                            
Subset, Stack and Join commands                                             
Saving data and graphs    
                                             
Statistics Foundations & Distribution Analysis
Measures of center and spread                                                               
Standard error and central limit theorem                                                  
Normal distribution, t distribution and confidence intervals
Test for normality                                                           
Data and tolerance intervals  (normal)                                          
Process capability (normal) and non-normal distribution fitting 
                         
Nominal X, Continuous Y  
Contour plots, Components of Variance, REML and POV    
Sample size for the mean and standard deviation                                    
t test – one sample, two sample and paired 
Test for differences in variances                                                                     
One-way ANOVA and N way ANOVA   
                                                             
Continuous X, Continuous Y
Simple linear regression, correlation                                                     
Multiple Regression and ANCOVA     
Forcasting and time series analysis 
                                                              
Nominal X, Nominal Y
Mean and Sigma for proportion defective                                                
Sample size and statistical tests for proportion defective                  
Mean and Sigma for defect per unit                                          
Chi-square test for defects and proportion defective                                 
Pareto graphs and cross tabs analysis        
                      
Continuous X, Nominal Y
Logistic regression