Introduction to Statistics (STAT 102)

جمع البيانات، التلخيص، الارتباط، الانحدار، الاحتمالية، أخذ العينات، التقدير، اختبارات الأهمية.

Total Lessonses 41 Total hours : 14:54:65 Duration Of Course 17 weeks
  • About the Course :

    It is an introductory course in statistics intended for students in a wide variety of areas of study. Topics discussed include displaying and describing data, the normal curve, regression, probability, statistical inference, confidence intervals, and hypothesis tests with applications in the real world. Students also have the opportunity to analyze data sets.



  • You Will Learn :

    Sets and Its Properties, Reel Functions, Basic Concepts and Definitions, Organizing of Raw Data and its Representation, Frequency Distributions and its Representation, Measures of Central Tendency and Quartiles and Percentiles, The Fife Numbers and the Representation of Data by Box Plot, Measures of Dispersion, Coefficients for Compare Two or More of Data Sets and the Z-Standard Score, Person's Coefficient of Correlation, Straight for the Simple Linear Regression, Basic Rules for Counting, Space of Elementary Event, Probability Function and its Properties, Conditional Probability and the Independence of Events, Concept of Random Variable, Discrete Random Variables, Probability Distribution Function of a Random Variable, Continuous Random Variables.



  • Target Group :

    *Academic Level : Academic University Student
    * Speciality : Mathematics
    * Material : Introduction to Statistics (STAT 102)
    * University Name : King Saud University



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Student Assignments

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Total Lessonses 41 Total Hours 14:54:65 Duration Of Course 17 weeks
Sets and Its Properties
1 Lessons 0:24:32
‏Sets
0:24:32
Show
Recorded Session
Real Functions
1 Lessons 0:33:44
Functions
0:33:44
Show
Recorded Session
Basic Concepts and Definitions
1 Lessons 0:20:08
Introduction to Statistics
0:20:08
Show
Recorded Session
Organizing of Raw Data and its Representation
2 Lessons 0:38:57
Organization of Data Part 1
0:25:07
Closed
Recorded Session
Organization of Data Part 2
0:13:50
Closed
Recorded Session
Frequency Distributions and its Representation
2 Lessons 0:40:26
Graphical Representation Part 1
0:26:29
Closed
Recorded Session
Graphical Representation Part 2
0:13:57
Closed
Recorded Session
Measures of Central Tendency and Quartiles and Percentiles
3 Lessons 1:03:07
Measures of Central Tendency Part 1
0:23:59
Closed
Recorded Session
Measures of Central Tendency Part 2
0:25:57
Closed
Recorded Session
Measures of Central Tendency Part 3
0:13:11
Closed
Recorded Session
The Fife Numbers and the Representation of Data by Box Plot
2 Lessons 0:23:15
Box Blot
0:5404:
Closed
Recorded Session
Stem and Leaves Diagrams
0:18:21
Closed
Recorded Session
Measures of Dispersion
2 Lessons 0:50:06
Measures of Variability Part 1
0:26:50
Closed
Recorded Session
Measures of Variability Part 2
0:23:16
Closed
Recorded Session
Coefficient of Variations
1 Lessons 0:04:03
Coefficient of Variations
0:04:03
Closed
Recorded Session
Coefficients for Compare Two or More of Data Sets and the Z-Standard Score
1 Lessons 0:04:03
Chebychaves Inequality
0:04:03
Closed
Recorded Session
Pearson and Superman Regression
1 Lessons 0:19:26
Pearson and Superman Regression
0:19:26
Closed
Recorded Session
Straight for The Simple Linear Regression
1 Lessons 0:08:37
Linear Regression
0:08:37
Closed
Recorded Session
Poison Probability Distribution Correlations
1 Lessons 0:24:53
Poison Probability Distribution Correlations
0:24:53
Closed
Recorded Session
Linear Regression and Correlations
1 Lessons 0:17:58
Linear Regression and Correlations
0:17:58
Closed
Recorded Session
The Correlations
1 Lessons 0:08:27
The Correlations
0:08:27
Closed
Recorded Session
Basic Rules for Counting
1 Lessons 0:25:11
‏Permutation and Combination
0:25:11
Closed
Recorded Session
Counting Rule and Probability
2 Lessons 0:50:08
Counting Rule and Probability
0:31:18
Closed
Recorded Session
Probability and Counting Rules
0:18:50
Closed
Recorded Session
Diagram of The Sample Space
1 Lessons 0:25:40
Diagram of The Sample Space
0:25:40
Closed
Recorded Session
Definition and Concept of Probability
2 Lessons 0:44:18
Definition and Concept of Probability Part 1
0:30:11
Closed
Recorded Session
Definition and Concept of Probability Part 2
0:14:07
Closed
Recorded Session
Probability
1 Lessons 0:19:39
Probability
0:19:39
Closed
Recorded Session
Addition and Multiplication Rules
3 Lessons 0:57:06
Calculating Probability for Addition
0:09:01
Closed
Recorded Session
Addition and Multiplication Rules part 1
0:23:49
Closed
Recorded Session
Addition and Multiplication Rules part 2
0:24:16
Closed
Recorded Session
Fundamental Theorem of Probability
1 Lessons 0:21:25
Fundamental Theorem of Probability
0:21:25
Closed
Recorded Session
Conditional Probability and the Independence of Events
3 Lessons 1:17:30
Conditional Probability and Independence Events Part 1
0:31:20
Closed
Recorded Session
Conditional Probability and Independence Events Part 2
0:25:26
Closed
Recorded Session
Conditional Probability and Independence Events Part 3
0:20:45
Closed
Recorded Session
Population Functions
1 Lessons 0:12:36
Population Functions
0:12:36
Closed
Recorded Session
Discrete Random Variables
1 Lessons 0:20:10
Discrete Probabilitu Distributions
0:20:10
Closed
Recorded Session
Continuous Random Variables
2 Lessons 0:47:40
Continous Random Varible Distribution Part 1
0:31:00
Closed
Recorded Session
Continous Random Varible Distribution Part 2
0:16:40
Closed
Recorded Session
Probability Distribution Function of a Random Variable
1 Lessons 0:22:12
Probability Distributions
0:22:12
Closed
Recorded Session
Binomial Probability Distribution
1 Lessons 0:15:38
Binomial Probability Distribution
0:15:38
Closed
Recorded Session
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Saad IBRAHIM Aleidi
very good

علي محمد كمال
good job