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BIO401 : Biostatistics

Course Overview

Course Synopsis

The purpose of this course will be to provide advanced undergraduate and graduate students a solid background in the core concepts of applied biological statistics. The course will review basic statistical concepts used in biological and medical research, probability theory, basic concepts of statistical inference, regression and correlation methods are covered, , the use of the software SPSS for data analysis.

Course Learning Outcomes

This course aims to enable you to apply advanced bio statistical methods to address research questions.

  • • Analyze quantitative and qualitative data using biostatistics, • Define the principal concepts about biostatistics. • Collect data relating to variable/variables which will be examined and calculate descriptive statistics from these data. • Identify distribution form relating to the variable/variables. • Apply hypothesis testing via some of the statistical distributions.


Course Calendar

1 Introduction to Biostatistics
2 Basic Terminology - I
3 Basic Terminology - II
4 Data
5 Variables
6 Measurement Scales - I
7 Measurement Scales - II

8 Types of Statistics
9 Sampling and Statistical Inference
10 Basic Terminology for sampling
11 Types of Sampling Methods
12 Simple Random Sampling
13 Stratified Random Sampling

14 Cluster Sampling
15 Systematic Sampling
16 Non-Probability Sampling Methods
17 Convenience Sampling
Quiz 1
18 Describing Data with Tables - I
19 Describing Data with Tables - II

20 Describing Data with Tables - III
21 Contingency Tables
22 Describing Data with Charts - I
23 Describing Data with Charts - II

24 Describing Data with Charts - III
25 Box and Whisker Plot
Assignment 1
26 Microsoft Excel Demo
27 Describing Data: From its Shapes
28 Describing Data: From its peak
29 Describing Shape: From Box and Whisker Plot
30 The Central Tendency of a data-set

31 Measures of Dispersion
32 Mean Deviation, Standard Deviation and Variance & Coefficient of variation
33 Chebychev's Inequality, The Empirical Rule & The Five-Number Summary
34 Box and Whisker Plot, Pearson’s Coefficient of Skewness
35 Set Theory,Counting Rules
36 Permutations,Combinations

37 Definitions of Probability
38 Application of Addition Theorem,Conditional Probability & Multiplication Theorem
QUIZ 2
39 Bayes’ Theorem,Discrete Random Variable
40 Graphical Representation of the Distribution Function of a Discrete Random Variable
41 Properties of Expected Values,Covariance & Correlation& Discrete Probability Distributions

42 Binomial Distribution,Introduction to the Hypergeometric Distribution
43 Hypergeometric Distribution ,Poisson Distribution & Continuous Uniform Distribution
44 Appropriate Use of Measures of Location
MID TERM EXAMS
45 Quantiles (Cut Points)
46 Examples of Quantiles

47 Measures of Dispersion.
48 Absolute Measures of Dispersion
49 Examples for Absolute Measures of Dispersion
50 Relative Measures of Dispersion
51 Examples of Measures of Dispersion
52 Appropriate usage of the Measures of Dispersion

53 Calculating Skewness and making decision using Numerical measures
54 Calculating Kurtosis and making decision using Numerical measures
55 Counting Rules
56 Permutations
57 Combinations
58 Bernoulli Distribution
59 Bernoulli Trials and Bernoulli Distribution

60 Standard Error
61 Sampling Distribution of the sample mean
62 Expectated value and variance of the sampling distribution of the sample mean

63 Estimation
64 Point Estimation
65 Interval Estimation
ASSIGNMENT 2
66 Correlation
67 Assumptions used for Correlation
68 Types of correlation and their usage
69 Partial Correlation
70 Multiple Correlation

71 Calculating and interpreting Correlation
72 Testing Hypothesis about Correlation coefficient
73 Regression
74 Assumptions for Regression Model
75 Steps in Regression Analysis
QUIZ 03
76 A Tutorial to SPSS - I
77 A Tutorial to SPSS - II

78 A Tutorial to SPSS - III
79 A Tutorial to SPSS - IV
80 A Tutorial to SPSS - V
81 A Tutorial to SPSS - VI
82 A Tutorial to SPSS - VII
83 A Tutorial to SPSS - VIII

84 A Tutorial to SPSS - IX
85 A Tutorial to SPSS - X
86 A Tutorial to SPSS - XI
87 A Tutorial to SPSS - XII
88 A Tutorial to SPSS - XIII
FINAL TERM EXAM