Statistics for Technical Professionals (2 days)

Section 1: Descriptive Statistics

• Population versus sample
  
  
• Descriptive statistics
  
  
  • Mean, median and mode
    
    
  • Variance and standard deviation
    
    
• Normal distribution
  
  
• Video: "Statistics at a Glance"
  
  
• Normal distribution and Z scores
  

Section 2: Confidence Intervals

• Central limit theorem
  
  
• Confidence interval for mean
  
  
  • Sigma known (normal distribution)
    
    
  • Sigma unknown (t distribution)
    
    
• Confidence interval for standard deviation
  
  
  • Chi squared distribution
    
    
• Confidence interval for binomial proportion
  
  
• Video: "Inferential Statistics: Part 1"
  

Section 3: Population Parameters

• Tolerance intervals for normal populations
  
  
  • Two-sided and one-sided
    
    
• Tolerance intervals for non-normal populations
  
  
  • Two-sided and one-sided
    
    
• Statistical versus engineering tolerances
  
  
• Process capability
  
  
• Process capability indices
  
  
• Six sigma processes
  

Section 4: Hypotheses Testing

• Testing equality of two variances
  
  
  • F-test (reject H₀: s₁=s₂ with a risk)
    
    
• Video: "Hypothesis Testing: Part I"
  
  
• Testing equality of two means (reject H₀: µ₁=µ₂ with a risk)
  
  
  • Assuming equal variances; Assuming unequal variances
    
    
  • Paired t-test; One-sided t-test
    
    
• Testing equality of two binomial proportions
  

Section 5: Sample Size Determination

• Confidence interval for mean
  
  
• Confidence interval for binomial proportion
  
  
• Hypothesis test for equality of two means
  
  
• Hypothesis test for equality of two binomial proportions
  

Section 6: One-Way ANOVA (Introduction)

• One-way ANOVA
  
  
  • F-test for means
    
    
  • Video: "Hypothesis Testing: Part II"
    
    
  • Exercise: "Resin Pot Life"
    

Section 7: Statistical Tables and Symbol Glossary (Reference)

Section 8: Exercise Answers (Reference)

See the STP course description for further information.