Biostatistics Stat 109
Introduction , types of data, Descreptive statistics, measure of central tendency,Measure of variationو frequency table ,Probability ,distributions:Binomail,Normal distribution,Estimastion,confidenc ...


Introduction

CHAPTER 1 Getting Acquainted with Biostatistics

CHAPTER 2 Strategies for Understanding The Meaning of Data
 2.2 Ordered array 04:30
 2.3 Frequency Distributions 16:36
 2.3 Mid Points and True Class Intervals 16:04
 2.3 Cumulative, Relative and Percentage Frequency 14:45
 2.3 Find Information From Frequency Distributions 07:54
 2.3 Histogram and Polygon 15:38
 2.3 Exercise About Frequency Distributions 17:49
 2.4 Introduction to Descriptive Statistics 07:10
 2.4 The Mean 15:34
 2.4 The Median 21:22
 2.4 The Mode 06:50
 2.6 Measures of Dispersion (Rang) 10:40
 2.6 Measures of Dispersion (Variance ) 19:11
 2.6 Measures of Dispersion (Standard Deviation ) 05:23
 2.6 Measures of Dispersion (Coefficient of Variation ) 11:12
 2.6 How to Use Calculator 05:28
 Exercises about Chapter 2 09:04

Chapter 3 Probability
 3.1 Basic Concepts 14:41
 3.1 Calculating the Probability 11:50
 3.1 Operations on Events 21:16
 3.1 Exhaustive and Disjoints Events 13:49
 3.1 The Addition Rule 07:12
 3.1 Example of Operations on Events 11:23
 3.1 Marginal Probability 24:29
 3.1 More Examples about Marginal Probability 23:20
 3.1 Conditional Probability 19:09
 3.1 Multiplication Rule of Probability 19:51
 3.1 Independent Events 16:54
 3.1 Example 17:02
 3.1 Extra Example about Independent Events 05:29
 3.5 Screening test 06:29
 3.5 False Positive and False Negative 05:49
 3.5 Sensitivity and Specificity 14:46
 3.5 Positive and Negative Predictive Values 13:05
 3.5 Bayes Formula 18:22
 3.5 Calculating Positive and Negative Predictive Values 18:22

CHAPTER 4 Probability Distributions
 4.1 Random Variables 18:22
 4.1 Kind of Random Variables 08:35
 4.2 Probability Distributions 11:22
 4.2 Example of Probability Distributions 22:37
 4.2 Graphical presentation 03:08
 4.2 Mean and Variance of Discrete Random Variable 08:18
 4.2 Example of Mean and Variance 07:19
 4.2 Cumulative Distributions 13:56
 4.2 Important Example 16:40
 4.3 Combination 19:50
 4.3 Binomial Distribution 20:09
 4.3 Example (High Blood Pressuer)
 4.3 Example ( Low Hemoglobin Level) 09:51
 4.4 Poisson Distribution 31:12
 4.4 Unit of time for the avrage 21:43
 4.4 First Example 22:26
 4.4 Second Example 27:37
 4.4 Third Example 06:23
 4.4 Forth Example 04:03
 4.5 Continuous Probability Distributions 11:18
 4.6 Normal Distribution 10:05
 4.6 Standard Normal Distribution 07:28
 4.6 What We Are Going to Do ? 04:17
 4.6 Calculating Probability of N(0, 1) 13:39
 4.6 Using The Table in an Opposite Way 10:07
 4.6 Important Result 06:29
 4.6 Set of Examples 08:19
 4.6 Transformation From Normal Distribution to Standard Normal Distribution 08:14
 4.7 First Example (Normal Distribution Application) 06:30
 4.7 Second Example (Normal Distribution Application) 08:14

CHAPTER 5 Probabilistic Features of the Distributions of Certain Sample Statistic
 5.1  5.2 What is the Meaning of Sampling Distribution 10:59
 5.3 The Mean and Variance of Sample Mean 08:20
 5.3 Sampling Distribution From Normal Population with Known Variance 05:56
 5.3 Example of Sampling Distribution from Normal Population with Known Variance 12:47
 5.3 Sampling Distribution From Nonnormal Population with known Variance and Large Sample Size 06:32
 5.3 Example of Sampling Distribution from unknown Population with Known Variance and Large Sample Size 13:15
 5.3 Sampling Distribution of the Sample Mean from Normal Population with Unknown variance 09:50
 5.3 Finding the Probability from tdistribution 12:23
 5.3 Example of Sampling Distribution of Sample Mean from Normal Population with Unknown Variance 03:51
 5.3 Finding tvalue 10:04
 5.4 The Sampling Distribution of the Difference Between Two Sample Mean 07:48
 5.4 Example of The Sampling Distribution of the Difference Between Two Sample Mean 11:11
 5.5 Proportion 06:49
 5.5 Sampling Distribution of the Sample Proportion 03:39
 5.5 Example of Sampling Distribution of the Sample Proportion 09:39
 5.6 Sampling Distribution of the Difference between Two Sample Proportions 06:22
 5.6 Example of Sampling Distribution of the Difference between Two Sample Proportions 10:31

CHAPTER 6 Using Sample Data to Make Estimations About Population Parameters
 Introduction of Chapter 6 09:09
 6.1  6.2 Point Estimation and Confident Level 09:29
 6.2 Reliability coefficient 10:27
 6.2 Example of Finding Reliability coefficient 06:25
 6.2 Margin of Error 02:31
 6.2  6.3 Computing Confidence Interval 09:06
 6.3 Example of Computing Confidence Interval with Known Variance 10:34
 6.3 Example of Computing Confidence Interval with Unknown Variance 07:57
 6.4 Confidence Interval for the Difference between Two Population Mean where the Variance of Two Pop. Are Known 04:26
 6.4 Example of Confidence Interval for the Difference between Two Population Mean where the Variance of Two Pop. Are Known 11:33
 6.4 Confidence Interval for the Difference between Two Population Mean where the Variance of Two Pop. Are Unknown and Equal 06:55
 6.4 Example of Confidence Interval for the Difference between Two Population Mean where the Variance of Two Pop. Are Unknown and Equal 13:52
 6.5  6.6 Confidence Interval of Population Proportion and the Difference between Two Population Proportions 06:02
 6.5 Example of Finding C.I of Population Proportion 09:28
 6.6 Example of Finding C.I of the Difference between Two Population Proportions 12:46

CHAPTER 7 Using Sample Statistic to Test Hypotheses about Population Parameters
 7.1 Types of Hypothesis 10:57
 7.1 How to Identify Null Hypothesis and Alternative Hypothesis 08:13
 7.1 Types of Error in Testing Statistical Hypothesis 07:09
 7.1 Types of Alternative Hypothesis 04:32
 7.1 Procedure of Testing Hypothesis : 1) Finding Test Statistic 07:42
 7.1 Procedure of Testing Hypothesis : rhe Rest Steps 13:26
 7.1 Example of Procedure of Hypothesis Testing 11:20
 7.2 Hypothesis Testing about Population Mean 08:54
 7.2 Example of Hypothesis Testing for Population Mean ( Known Variance) 08:54

Introduction
 Introduction , types of data, Descreptive statistics, measure of central tendency,Measure of variationو frequency table ,Probability ,distributions:Binomail,Normal distribution,Estimastion,confidence intervals, testing of hothesis for one mean,two means and one proportion and two proportion

• Hadeel Mohammed Almadiny. • Lecturer in Vision Academy. • Specialty in mathematics. • Graduated from (KSU)with calss honor. ~ Experiences: • teacher in international school. • English language. • Strategic teaching course. ~ Achievements: • Title of scientific meeting leader in KSU.

Student feedback
5
500 SAR
This Course Includes
Lectures
113 Videos
Duration
18:42:05
Assignments
Partially
Labs
No
Project
No
Certificate
Not Applicable
Reviews (0)
Real reviews from real students.
No reviews yet.