Introductory BioStats   

Black and white handouts of the lectures are avaliable in this zip file.

 BIOSTATShandouts.zip

The Data files associated with the lectures are here.

 BIOSTATSdata.zip

1.Data Summarization/Descriptive Statisticstion

Mean, Median, Quartiles, Box Plot, Histogram, Pie Chart, Bar Chart

 2. Probability 

Product Rule, Permutations, Combinations, Total Probability Theorem, Bayes Theorem, Conditional Probability, Independence

 3. Probability Distributions

Uniform distribution, Normal or Gaussian or Bell-shaped distribution, Binomial distribution, Poisson distribution

 4.Sampling Distributions

Central Limit Theorem, Chi-square distribution, t-distribution, F-distribution

 5. Confidence Intervals

Confidence coefficient, confidence interval for mean,  confidence interval for difference in two means, confidence interval for one proportion, confidence interval for difference in two proportions, independent samples, equal variance case, unequal variance case, one-sample t, two-sample t, paired t, Cochran's approximate t, Satterthwaite's approximate t.

 6. Testing Hypotheses

P-value, one-sided test, two-sided test, test for mean, test for equality of two means, independent samples,equal variance case, unequal variance case, one-sample t, two-sample t, paired t, Cochran's approximate t, Satterthwaite's approximate t.

 7. ANOVA

Completely randomized design, ANOVA table, F-test, testing normality of residuals.

 8. Correlation and Regression

 9. Multiple Linear Regression

Measures of Dependence, Covariance, Correlation, Least Squares Line,testing normality of residuals, coefficient of determination.

 10. Chi-square tests

Goodness of Fit Test, Test of Independence, Test of Homogeneity of Proportions.