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Biostats,: Course Outline (103)

in this course Introduces the fundamental concepts of summarizing data and statistical interference, including graphical displays, hypothesis testing, p-values, and confidence intervals.

Course Outline


  • What is biostatistics? application of statistics inbiological and pharmaceutical sciences
  • Sample and population
  • Simple random sampling
  • Samplingdistribution and standard error
  • Stratified random sampling
  • Systemic and cluster sampling

Test of hypothesis and significance

  • Statistical hypothesis
  • Level of significance
  • Test of significance
  • Confidence
  • Intervals
  • Test involving binomial and normal distribution

Goodness of fit test

  • Chi-square distribution
  • It properties and application
  • Contingency tables test of homogeneity
  • Student "t" and "F" dsistribution
  • Properties of "t" distribution and "F" distribution
  • Test of significance based on "t"-distribution and "F"-distribution

Analysis of variance

  • One-way classification
  • Partitioning of sum of squares and degree of freedom
  • Two-way classification
  • Multiple compression tests such as LSD
  • P-values the analysis of variance models

Experimental designs (advantages & disadvantages)

  • Basic principles of experimental designs
  • The completely randomized designs (CR-designs)
  • Randomized complete block designs (RCB designs)
  • Latin square designs (LS-designs)
  • Factorial experimental