احصاء حيوي _الجزء الأول stat 109
احصاء حيوي الجزء الاول من جابتر 1 الى جابتر 5
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- CHAPTER 1 Getting Acquainted with Biostatistics
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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 18:41
- 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
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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 15:16
- 3.5 Calculating Positive and Negative Predictive Values 15:03
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CHAPTER 4 Probability Distributions
- 4.1 Random Variables
- 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)
- 4.4 Poisson Distribution
- 4.4 Unit of time for the avrage
- 4.4 First Example
- 4.4 Second Example
- 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
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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 Non-normal 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 t-distribution 12:23
- 5.3 Example of Sampling Distribution of Sample Mean from Normal Population with Unknown Variance 03:51
- 5.3 Finding t-value 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
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Exercises
- Exercise 1 23:12
- Exercise 2 50:21
- Exercise 3 26:35
- Exercise 4 51:43
- Exercise 5 38:59
- Exercise Chapter 4 31:35
- Exercise 6 (Binomial Distribution) 38:43
- Exercise 6 (Poisson Distribution) 41:54
- Exercise 7 ( Standard Normal Distribution ) 23:31
- Exercise 7 (Non-standard Normal Distribution) 21:05
- Exercise 8 (Distribution of the Sample Mean) 26:20
- Exercise 8 (Distribution of the Difference Between the Sample Means) 15:50
- Exercise 8 (Distribution of the Sample Proportion) 18:31
- Exercise 8 ( Distribution of the Difference between Sample Proportions) 14:27
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حل ملزمة الفيفي (أسئلة اختيارية لكامل المنهج)
- حل تمارين جابتر ١ و ٢ (إلى سؤال رقم ٩) 51:06
- حل تكملة جابتر ٢ (Frequency Distribution) 51:01
- جابتر ٣ الجزء الأول (probability) 48:41
- جابتر ٣ الجزء الثاني 44:07
- Discrete Random Variable - Binomial Distribution - Poisson Distribution 48:18
- Normal Distribution 01:07:57
- Sampling Distribution Ch5 01:24:10
- Exam
- احصاء حيوي الجزء الاول من جابتر 1 الى جابتر 5
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• 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.
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