BIO401 Official Handouts

TABLE OF CONTENTS

Sr # Topic Name

Basic Terminology - II Data Variables Measurement Scales - I Measurement Scales - II Types of Statistics Sampling and Statistical Inference Basic Terminology for sampling Types of Sampling Methods Simple Random Sampling Stratified Random Sampling Cluster Sampling Systematic Sampling Non-Probability Sampling Methods Convenience Sampling Describing Data with Tables - I Describing Data with Tables - II Describing Data with Tables - III Contingency Tables Describing Data with Charts - I Describing Data with Charts - II Describing Data with Charts - III Box and Whisker Plot Microsoft Excel Demo Describing Data: From its Shapes Describing Data: From its peak Describing Shape: From Box and Whisker Plot The Central Tendency of a data-set

Mean Deviation, Standard Deviation and Variance & Coefficient of variation Chebychev’s Inequality, The Empirical Rule & The Five-Number Summary Box and Whisker Plot, Pearson’s Coefficient of Skewness Set Theory, Counting Rules Permutations, Combinations Definitions of Probability Application of Addition Theorem, Conditional Probability & Multiplication Theorem Bayes’ Theorem, Discrete Random Variable Graphical Representation of the Distribution Function of a Discrete Random Variable Properties of Expected Values, Covariance & Correlation& Discrete Probability Distributions Binomial Distribution, Introduction to the Hypergeometric Distribution Hypergeometric Distribution ,Poisson Distribution & Continuous Uniform Distribution Appropriate Use of Measures of Location Quantiles (Cut Points) Examples of Quantiles

Absolute Measures of Dispersion Examples for Absolute Measures of Dispersion Relative Measures of Dispersion Examples of Measures of Dispersion Appropriate usage of the Measures of Dispersion Calculating Skewness and making decision using Numerical measures Calculating Kurtosis and making decision using Numerical measures Counting Rules Permutations Combinations Bernoulli Distribution Bernoulli Trials and Bernoulli Distribution Standard Error Sampling Distribution of the sample mean Expectated value and variance of the sampling distribution of the sample mean Estimation Point Estimation Interval Estimation Correlation Assumptions used for Correlation Types of correlation and their usage Partial Correlation Multiple Correlation Calculating and interpeting Correlation Testing Hypothesis about Correlation coefficient Regression Assumptions for Regression Model Steps in Regression Analysis A Tutorial to SPSS - I A Tutorial to SPSS - II A Tutorial to SPSS - III A Tutorial to SPSS - IV A Tutorial to SPSS - V A Tutorial to SPSS - VI A Tutorial to SPSS - VII A Tutorial to SPSS - VIII A Tutorial to SPSS - IX A Tutorial to SPSS - X A Tutorial to SPSS - XI A Tutorial to SPSS - XII A Tutorial to SPSS - XIII