Skip to main content
Pearl@USM
JIB323 - Biostatistics
0%
Previous
Course data
Home
Introduction
LTAP
Academic Planner 2024/2025
Ice-breaking
Let's get to know each other! Feel free to add in a post about your self in this padlet.
Annoucement
WEBEX
JIB323 WEBEX 14 JUN 2025
JIB323 WEBEX 5 APR 2025
rakaman webex 02/11/2024
LINK RAKAMAN WEBEX 30/11/2024
LINK RAKAMAN WEBEX 04/01/2025
LINK RAKAMAN WEBEX 18/01/2025
LINK RAKAMAN WEBEX 09/03/25 (KULIAH SEMASA KURSUS INTENSIVE - TOPIC 7)
LINK RAKAMAN WEBEX 14/03/25 (KURSUS INTENSIF - TOPIC 8)
LINK RAKAMAN WEBEX 13 MAY 2025
Assessments
Assignment 1
Assignment 1 *DUE 31st MARCH 2025*
Assigment 2 : DUE 14th JUNE 2024
Please upload Assignment 2 here
Topic 1 - Introduction to Biostatistics
Lecture note - Topic 1 (Introduction to Biostatistics)
Self assessment/exercise 1
Additional video resource 1 - types of data
Additional video resources 2 - sampling types
Topic 2 - Describing, Exploring, and Comparing Data
Lecture Note Topic 2 - Describing, Exploring, and Comparing DataFile
Formulas and Tables
Self-assessment/ Exercise 2
Additional Resource Video 1 - Mean, Median, and Mode of Grouped Data & Frequency Distribution Tables Statistics
Additional video resources 2 - Measure of Central Tendency of Grouped Data for beginners
Additional video resources 3 - Histogram and Frequency Polygon
Additional Resources video 4 - Comparing with Z scoresURL
Additional Video resources 5 - Quartile, Deciles, Percentile, & Relative frequencyURL
Topic 3 - Probability
Lecture note - Chapter 3 Probability
Self-assessment - Chapter 3
Additional video resources - Introduction to Probability, Basic Overview - Sample Space, & Tree Diagrams
Additional Video resources 2 - Multiplication & Addition Rule - Probability - Mutually Exclusive & Independent Events
Topic 4 - Discrete Probability Distribution
Lecture note - Chapter 4 Discrete Probability Distribution
Self-assessment - Chapter 4
Additional video resources 1 - The Binomial Distribution Formula
Additional video resources 2 - Poisson Distribution
Recorded Lecture - Chapter 4
Topic 5 - Normal Probability Distribution
Lecture note - Chapter 5 Normal Probability Distribution
Self-assessment Chapter 5
Additional video resources 1 - Normal distributions: calculating probabilities
Additional video resources 2 - Central limit theorem
Additional resources 3 - The Normal Approximation of the Binomial Distribution
Video recordings of LECTURE 5
Topic 6 - Estimates and Samples Sizes with One Sample
Lecture notes - Chapter 6: Estimates and Sample Sizes with One Sample
Self-assessment - Chapter 6
Additional video resources 1 - Confidence Interval [Simply explained]
Additional video resources 2 - Estimating a Population Proportion
Additional video resources 3 - Confidence Interval for a population mean - σ known
Additional video resources 4 - Confidence Interval for a population mean - t distribution
Video Recordings of LECTURE 6
Topic 7 - Hypothesis Testing With One Sample
Main learning materials : Chapter 7 - Hypothesis Testing with One Sample
Lecture notes: Chapter 7
7-4 Testing a claim about the proportion: σ known - Recorded short lecture
7-5 Testing a claim about the proportion: σ not known - Recorded short lecture
7-6 Testing a Claim About a Standard Deviation or Variance - Recorded short lecture
Self-Learning Activities
Sub-chapter 7-2: Basic of hypothesis testing
1. Exercise 7-2: Basic of hypothesis testing (SLT: 0.5 hours)
2. Youtube video Null and Alternative Hypotheses (SLT:0.5)
3. Youtube video : Hypothesis Testing - How To Find Rejection Regions And Critical Values Using A Z Test (SLT:0.5 hours)
Sub-topic 7-3:Testing a claim about the proportion
1. Exercise 7-3: Testing a claim about a proportion (SLT: 0.5 hours)
2. Youtube video: Hypothesis Tests for Proportion (traditional method) (SLT:0.5)
3. Youtube video: Hypothesis Tests for Proportion (P-value method) (SLT:0.5 hours)
Sub-topic 7-4:Testing a claim about the proportion: σ known
1. Exercise 7-4: Testing a claim about the proportion: σ known (SLT: 1 hour)
Sub-topic 7-5:Testing a claim about the proportion: σ not known
1. Exercise 7-5: Testing a claim about the proportion: σ not known (Part 1) (SLT: 1 hour)
Sub-topic 7-6:Testing a Claim About a Standard Deviation or Variance
1. Exercise 7-6: Testing a Claim About a Standard Deviation or Variance (SLT: 0.5 hours)
Self-Assessment
Sub-topic: 7-2 : Basic of hypothesis testing (SLT:0.5 hours)
Sub-topic : 7-3-Testing a claim about a proportion (SLT: 1 hour)
Sub-topic 7-4 : Testing a claim about a mean: sigma known (SLT: 1 hour)
Sub-topic: 7-5-Testing a claim about a mean: sigma not known (SLT: 1 hour)
Sub-topic 7-6-Testing a claim about a standard deviation or variance (1.5 hours)
Additional Learning Materials
1. Additional video resources - Type I and Type II errorURL
2. Additional resources II - Hypothesis Testing using the confidence interval
Summary
List of References
Topic 8 - Inferences From Two Samples
Main Learning Materials - Lecture Notes - Chapter 8: Inferences From Two Samples
Lecture slide - Chapter 8
Additional video for this chapter
Additional video for this chapter
Self-learning Activities
Sub-topic 8-2: Inferences about two proportions
1. Exercise 8-2: Inferences about two proportions (SLT:0.5 hours)
2. Youtube video : Hypothesis testing with two proportions (SLT:0.5 hours)
Sub-topic 8-3 Inferences About Two Means: Independent Samples
1. Exercise 8-3: Inferences about two means: Independent samples (SLT:0.5 hours)
2. Youtube video : Inferences about two means - Independent samples (SLT:0.5 hours)
Sub-topic 8-4 : Inferences from Matched Pairs
2. Exercise sub-topic 8-5 : Comparing variation in Two samples (SLT: 1 hour)
2. Youtube video sub-topic 8-5 : Comparing variation in Two samples (SLT: 0.5 hours)
Self-Assessment
1. Sub-topic 8-2-Inferences about two proportions (SLT: 1 hour)
2. Sub-topic 8-3 : Inferences from independent sample (SLT: 1 hour)
3. Sub-topic 8-4: Inferences from matched pairs (SLT: 2 hours)
4. Sub-topic 8-5 Comparing variation in Two samples (SLT:1.5 hours)
Additional learning material
Self-assessment
Summary
List of references:
Topic 9 - Correlation and Regression
Main Learning materials : Topic 9 - Correlation and Regression Lecture notesFile
Lecture slide - Chapter 9
Self-learning Activities
Sub-topic 9-2 - Correlation
1. Exercise 9-2 Correlation (SLT: 1 hour)
This is an exercise for you to test your understanding for this sub-topic. Please refer to the main lecture note to solve each question. You don't have to send this exercise because it is not counted in the coursework percentage
Sub-topic 9-3 - Regression
1. Exercise 9-3 : Regression (SLT:1 hour)
2. Youtube video Sub-topic 9-3: Regression (SLT: 0.5 hours)
Sub-topic 9-4 -Variation and Prediction Intervals
1. Exercise 9-4 : Variation and Prediction Intervals (SLT: 0.5 hours)
2. Youtube video Subtopic 9-4: Variation and Prediction Intervals
Self-Assessment
1. Sub-topic 9-2: Correlation (1.5 hours)
2. Sub-topic 9-3: Regression (SLT:1.5 hours)
3. Sub-topic 9-4 : Variation and Prediction Intervals (SLT: 1 hour)
Additional learning materials
Summary
List of references:
Topic 10 - Multinomial Experiments and Contingency Tables
Main learning materials - Chapter 10 - Chapter 10 Multinomial Experiments and Contingency Tables
Lecture slide - Chapter 10
Self-learning Activities
Sub-topic 10-2 - Multinomial Experiments: Goodness-of-Fit
1. Exercise 10-2 Multinomial Experiments: Goodness-of-Fit (SLT: 1 hour)
2. Youtube video Multinomial Experiments: Goodness-of-Fit (SLT: 0.5 hours)
Sub-topic 10-3 - Contingency Tables: Independence and Homogeneity
1. Exercise 10-3 - Contingency Tables: Independence and Homogeneity (SLT: 1 hour)
2. Youtube Contingency Tables: Independence and Homogeneity (SLT: 1 hour)
Sub-topic 10-4 - Contingency Tables: Independence and Homogeneity
1. Exercise 10-4 : McNemar’s Test for Matched Pairs (SLT: 1 hour)
2. Youtube video on solving problems for the McNemar's Test (SLT: 0.5 hours).
Self-Assessment
Sub-topic 10-2 - Multinomial Experiments: Goodness-of-Fit (SLT: 1.5 hours)
Sub-topic 10-3 - Contingency Tables: Independence and Homogeneity (SLT: 1 hour)
Sub-topic 10-4 - McNemar’s Test for Matched Pairs (SLT: 1 hour)
Additional learning materials
Summary
List of references
Topic 11 - Analysis of Variance
Lecture slides Chapter 11
Self-learning Activities
Sub-topic 11-2 : One-way ANOVA
1. Exercise 11-2 - One way ANOVA (SLT: 2 hours)
2. Youtube One-Way ANOVA (SLT: 1 hour)
Sub-topic 11-3 : Two-way ANOVA
1. Exercise 11-3 Two-way ANOVA (SLT: 1 hour)
2. Youtube 11-2 Two way Anova (SLT: 1 hour)
Self-learning Assessment
Sub-topic 11-2 - One-way ANOVA (SLT: 2.5 hours)
Sub-topic 11-3 : Two-way ANOVA (1.5 hours)
Additional learning materials
Summary
List of references
Topic 12 - Nonparametric Statistics
Chapter 12 - Non-Parametric Statistics
Self-learning Activities
Sub-topic 12-2 : Sign Test
1. Exercise 12-2 Sign Test (SLT:0.5 hours)
2. Youtube video: The Wilcoxon signed-rank test and the sign test (SLT: 0.5 hours)
12-3 Wilcoxon Signed-Ranks Test for Matched Pairs
1. Exercise 12-3 - Wilcoxon signed-ranks test for matched pairs (SLT:0.5 hours)
2. Youtube Sub-topic 12-3: Wilcoxon Signed-Ranks Test for Matched Pairs (SLT:0.5 hours)
12-4 Wilcoxon Rank-Sum Test for Two Independent Sample
1. Exercise 12-4 : Wilcoxon Sum-Ranks Test for Two Independent Sample (SLT: 0.5 hours)
2. Youtube Sub-topic 12-4: Wilcoxon Rank-Sum Test for Two Independent Sample (SLT:0.5 hours)
12-5 Kruskal-Wallis Test
1. Exercise 12-5 : Kruskal-Wallis Test (SLT:0.5 hours)
2. Youtube Sub-topic 12-5: Kruskal-Wallis Test (SLT:0.5 hours)
12-6 Rank Correlation
1. Exercise 12-6 : Rank Correlation (SLT: 1 hour)
Self-Assessment
Sub-topic 12-2 : Sign Test (SLT: 1 hour)
Sub-topic 12-3 : Wilcoxon Signed-Ranks Test for Matched Pairs (SLT: 1 hour)
Sub-topic 12-4 : Wilcoxon Sum-Ranks Test for Two Independent Sample (SLT: 1 hour)
Sub-topic 12-5 : Kruskal Wallis Test (SLT: 1 hour)
Sub-topic 12-6 : Rank Correlation (SLT: 1 hour)
Additional learning materials
Summary
List of references
ATTENDANCE
FAIL KURSUS JIB323 SA 2023/2024
Kursus Intensif
Link to class
QUIZ APRIL 30, 2025
INSTRUCTIONS FOR QUIZ, APRIL 30, 2025
Answer script submission QUIZ April, 30 2025
JIB323 BIOSTATISTICS QUIZ 2024-2025 (QUESTION PAPER)
Next
Pearl@USM
Side panel
Categories
All categories
Category 1
Ijazah Sarjana Muda Sains (Kepujian)
Bidang Biologi
Bidang Fizik
Bidang Kimia
Bidang Matematik
Ijazah Sarjana Muda Sastera (Kepujian)
Bidang Geografi
Bidang Kesusasteraan
Bidang Sejarah
Ijazah Sarjana Muda Sains Kemasyarakatan (Kepujian)
Bidang Antropologi-Sosiologi
Bidang Ekonomi
Bidang Sains Politik
Ijazah Sarjana Muda Pengurusan (Kepujian)
Kursus Universiti
Kimia Teknologi dan Lestari
Fizik Industri
Analitik Geospatial
PJJ@USM 101 Pendidikan Sepanjang Hayat
Home
Penilaian Pengajaran
Aduan/Bantuan
Aduan
Bantuan
Log in
Welcome to Pearl SA 2024/2025
Login using your Identity@USM account :
======= For Admin only ========
ADMIN LOGIN :
Username
Username
Password
Password
Log in
Pearl@USM
Categories
Collapse
Expand
All categories
Category 1
Ijazah Sarjana Muda Sains (Kepujian)
Bidang Biologi
Bidang Fizik
Bidang Kimia
Bidang Matematik
Ijazah Sarjana Muda Sastera (Kepujian)
Bidang Geografi
Bidang Kesusasteraan
Bidang Sejarah
Ijazah Sarjana Muda Sains Kemasyarakatan (Kepujian)
Bidang Antropologi-Sosiologi
Bidang Ekonomi
Bidang Sains Politik
Ijazah Sarjana Muda Pengurusan (Kepujian)
Kursus Universiti
Kimia Teknologi dan Lestari
Fizik Industri
Analitik Geospatial
PJJ@USM 101 Pendidikan Sepanjang Hayat
Home
Penilaian Pengajaran
Aduan/Bantuan
Collapse
Expand
Aduan
Bantuan
Ijazah Sarjana Muda Sains (Kepujian)
Summary
JIB323 - Biostatistics
Image:
Course info
JIB323 - Biostatistics
Lecturer:
DR. NOOR ADELYNA BINTI MOHAMMED AKIB
Lecturer:
PROFESOR MADYA DR. VEERA SINGHAM A/L K.GENASAN
Skill Level
:
Beginner
