Statistics and Probability (STAT 211)

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

Total Lessonses 34 Total hours : 13:25:12 Duration Of Course 17 weeks
  • About the Course :

    Course Description: This is an introductory course in statistics aimed at students from a wide range of disciplines. Topics covered include the representation and description of data, the normal curve, regression, probability, statistical inference, confidence intervals, and hypothesis testing with real-world applications. Students also have the opportunity to analyze data sets.



  • You Will Learn :

    Definition and General View of Statistics and Organization and Presentation of Statistical Data, Frequency Distributions, Statistics Graphs, Measures of Central Tendency, Measures of Variability, Coefficient of Variation, Correlations (Person, Spearman), Sample Space and Events, Sets and Operations on Sets, Counting Techniques, Fundamental Basics of Probability, Addition Rule, Multiplication Rule, Definition of The Probability and Its Applications, Conditional Probability and Bayes Theorem, Continuous and Discontinues Probability Distributions, Discrete Random Variable, Continuous Random Variable, Confidence Intervals, Normal Distributions, Testing Hypotheses.



  • Target Group :

    *Academic Level : Academic University Student
    * Speciality : Mathematics
    * Material : Statistics and Probability (STAT 211)
    * University Name : University of Bisha



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Total Lessonses 34 Total Hours 13:25:12 Duration Of Course 17 weeks
DefinitionPresentation of Statistical Data
1 Lessons 0:20:08
Introduction to Statistics
0:20:08
Show
Recorded Session
Frequency Distributions
2 Lessons 0:38:57
Organization of Data Part 1
0:25:07
Show
Recorded Session
Organization of Data Part 2
0:13:50
Show
Recorded Session
Statistics Graphs
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
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
Measures of Variability
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 Variation
1 Lessons 0:04:03
Coefficient of Variations
0:04:03
Closed
Recorded Session
Correlations (Person, Spearman)
1 Lessons 0:24:53
poison probability distribution
0:24:53
Closed
Recorded Session
Sample Space and Events
1 Lessons 0:19:39
Probability
0:19:39
Closed
Recorded Session
Sets and Operations on Sets
1 Lessons 0:24:32
‏Sets
0:24:32
Closed
Recorded Session
Counting Techniques
1 Lessons 0:25:11
‏Permutation and combination
0:25:11
Closed
Recorded Session
Fundamental Basics of Probability
1 Lessons 0:21:25
Fundamental Theorem of Probability
0:21:25
Closed
Recorded Session
Addition Rule
1 Lessons 0:09:01
Calculating Probability for Addition
0:09:01
Closed
Recorded Session
Multiplication Rule
2 Lessons 0:48:05
Addition and Multiplication Rules part 1
0:23:49
Closed
Recorded Session
Addition and Multiplication Rules part 2
0:24:16
Closed
Recorded Session
Definition of The Probability and Its Applications
2 Lessons 0:44:18
Definition and Concept of Probabbility Part 1
0:30:11
Closed
Recorded Session
Definition and Concept of Probabbility Part 2
0:14:07
Closed
Recorded Session
Conditional Probability and Bayes Theorem
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
Probability Distributions
1 Lessons 0:22:12
Probability Distributions
0:22:12
Closed
Recorded Session
Discrete Random Variable
1 Lessons 0:20:10
Discrete Probabilitu Distributions
0:20:10
Closed
Recorded Session
Continuous Random Variable
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
Confidence Intervals
3 Lessons 0:31:36
Chebychaves inequality
0:04:03
Closed
Recorded Session
Confidence Interval Estimation
0:18:22
Closed
Recorded Session
Confidence Interval on the Difference in Mean Variance Unknown
0:09:11
Closed
Recorded Session
Normal Distributions
2 Lessons 0:53:09
The Normal Distribution Part 1
0:29:10
Closed
Recorded Session
The Normal Distribution Part 2
0:23:59
Closed
Recorded Session
Testing Hypotheses
1 Lessons 0:12:46
Introduction of Hypothesis Testing
0:12:46
Closed
Recorded Session
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Speciality : Mathematics

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Saad IBRAHIM Aleidi
very good

علي محمد كمال
good job