Fundamentals of Statistics and Probabilities (STAT 101)

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

Total Lessonses 33 Total hours : 13:45:55 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 Concepts of Statistics, Organization of Data, Graphical Representation, Mean - Medium – Mode, Range - Mean Deviation -Standard Deviation- Variance of the Individual Data and Frequency Distributions, Sets and Algebraic Operations on Sets, Definition of Sample Space and Tree Diagram, Methods of Counting Basic Rules -Multiplication Rule - Addition Rule, Permutation – Combinations, Definition of Probability, General Law of Probability, Applications to Probabilities, Conditional Probability and Bayesian Theory and Its Applications, Discrete Random Variable, Continuous Random Variable, Separate Probability Distributions Bernoulli, Separate Probability Distributions Binomial, Separate Probability Distributions Poisson, Natural Distribution and its Applications.



  • Target Group :

    *Academic Level : Academic University Student
    * Speciality : Mathematics
    * Material : Fundamentals of Statistics and Probabilities (STAT 101)
    * University Name : Shaqra University



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Total Lessonses 33 Total Hours 13:45:55 Duration Of Course 17 weeks
Definition and Concepts of Statistics
1 Lessons 0:20:08
Introduction to statistics
0:20:08
Show
Recorded Session
Organization of Data
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
Graphical 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
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
Range - Mean Deviation , Standard Deviation , Variance of the Individual Data and Frequency Distributions
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
Sets and Algebraic Operations on Sets
1 Lessons 0:24:32
Sets and Operations on Sets
0:24:32
Closed
Recorded Session
Definition of Sample Space and Tree Diagram
1 Lessons 0:25:40
Diagram of the Sample Space
0:25:40
Closed
Recorded Session
Methods of Counting Basic Rules -Multiplication Rule - Addition 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
Permutation - Combinations
1 Lessons 0:25:11
Permutation and combination
0:25:11
Closed
Recorded Session
Definition of Probability
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
General Law of Probability
1 Lessons 0:21:25
Fundamental Theorem of Probability
0:21:25
Closed
Recorded Session
Applications to Probabilities
1 Lessons 0:09:01
Calculating Probability for Addition
0:09:01
Closed
Recorded Session
Conditional Probability and Bayesian Theory and Its Applications
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
Discreate Random Variable
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
Separate Probability Distributions Bernoulli
1 Lessons 0:13:10
Bernoulli Trails
0:13:10
Closed
Recorded Session
Separate Probability Distributions Binomial
1 Lessons 0:15:38
Binomial Probability Distribution
0:15:38
Closed
Recorded Session
Separate Probability Distributions Poisson
2 Lessons 0:39:07
Poison Distribution
0:14:14
Closed
Recorded Session
Poison Probability Distribution Correlations
0:24:53
Closed
Recorded Session
Z _Score
1 Lessons 0:25:13
Z _Score
0:25:13
Closed
Recorded Session
The Normal Distribution
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
Introduction of Hypothesis Testing
1 Lessons 0:12:46
Introduction of Hypothesis Testing
0:12:46
Closed
Recorded Session
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Saad IBRAHIM Aleidi
very good

علي محمد كمال
good job