NOC:Biostatistics and Design of Experiments


Lecture 1 - Introduction


Lecture 2 - Experimental Design Strategy


Lecture 3 - Data types : Binomial distribution


Lecture 4 - Poisson Distribution


Lecture 5 - Normal Distribution


Lecture 6 - Standardized Normal Distribution / t-distribution


Lecture 7 - t-distribution/confidence interval


Lecture 8 - Statistical tests


Lecture 9 - t-Test


Lecture 10 - t-Tests


Lecture 11 - t-test


Lecture 12 - F-tests


Lecture 13 - F-tests


Lecture 14 - ANOVA


Lecture 15 - ANOVA


Lecture 16 - Anova


Lecture 17 - Anova


Lecture 18 - Anova


Lecture 19 - Anova


Lecture 20 - Anova


Lecture 21 - Normality test / Odds ratio


Lecture 22 - Chi square distribution


Lecture 23 - Chi square distribution / test


Lecture 24 - Chi square test


Lecture 25 - Chi square test and Weibull Distribution


Lecture 26 - Weibull Distribution


Lecture 27 - Weibull distribution.


Lecture 28 - Non-parametric test


Lecture 29 - Non parametric test/homogeneity of variance / beta distribution


Lecture 30 - Exponential / hypergeometric distributions


Lecture 31 - Hypergeometric / Log norma distribution


Lecture 32 - Design of experiments (DOE) - Introduction


Lecture 33 - Factorial Design


Lecture 34 - Full factorial design


Lecture 35 - Fractional factorial design


Lecture 36 - Other designs


Lecture 37 - Second order designs


Lecture 38 - Second order design


Lecture 39 - Regression analysis


Lecture 40 - Control charts