## COURSE CONTENTS

1. DESCRIPTION OF STATISTICS
• Descriptive Statistics: What is Statistics? Importance of Statistics. What is Biostatistics? Application of Statistics in Biological and Pharmaceutical Sciences. How samples are selected?
2. ORGANIZING AND DISPLAYING DATA
• Variables, Quantitative and Qualitative Variables, Univariate Data, Bivariate Data, Random Variables, Frequency Table, Diagrams, Pictograms, Simple Bar Charts, Multiple Bar Charts, Histograms.
3. SUMMARIZING DATA AND VARIATION:
• The Mean, the Median, the Mode, the Mean Deviation, the Variance and Standard Deviation, Coefficient of Variation.
4. CURVE FITTING
• Fitting a Straight Line. Fitting of Parabolic or High Degree Curve.
5. PROBABILITY
• Definitions, Probability Rules, Probability Distributions (Binomial & Normal Distributions).
6. SIMPLE REGRESSION AND CORRELATION
• Introduction. Simple Linear Regression Model. Correlation co-efficient.
7. TEST OF HYPOTHESIS AND SIGNIFICANCE:
• Statistical Hypothesis. Level of Significance. Test of Significance. Confidence Intervals, Test involving Binomial and Normal Distributions.
8. STUDENT “T”, “F” AND CHI-SQUARE DISTRIBUTIONS
• Test of Significance based on “t”, “F” and Chi-Square distributions.
9. ANALYSIS OF VARIANCE
• One-way Classification, Two-way Classification, Partitioning of Sum of Squares and Degrees of Freedom, Multiple Compression Tests such as LSD, The analysis of Variance Models.
10. STATISTICAL PACKAGE
• An understanding of data analysis by using different statistical tests using various statistical software’s like SPSS, Minitab, Statistica etc.