Module V: Statistical Techniques – III – All Important Formulas
1. Sampling Theory
Sample Mean & Variance
Standard Error of Mean
2. Hypothesis Testing – Basic Concepts
- Null Hypothesis:
- Alternative Hypothesis:
- Level of Significance: (usually 0.05 or 0.01)
- Critical Region / Rejection Region
- p-value approach: Reject if p-value
Confidence Limits (for mean)
3. Tests of Significance
Test for Difference of Means (Large Samples)
t-Test (Small Samples)
One-sample t-test
Two-sample t-test (equal variance)
where pooled variance
Paired t-test
F-Test (Equality of Two Variances)
Chi-Square Test
Goodness of Fit / Independence
Test for Variance
4. One-Way Analysis of Variance (ANOVA)
Total Sum of Squares
Between Sum of Squares
Within Sum of Squares
Mean Squares
F-Statistic
5. Statistical Quality Control (SQC) – Control Charts
Control Charts for Variables
-Chart (Process Mean)
-Chart (Process Range)
(, , are control chart constants depending on subgroup size)
Control Charts for Attributes
-Chart (Fraction Defective)
-Chart (Number Defective)
-Chart (Number of Defects)