Principles of Statistics and Probability (STAT 121)

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

Total Lessonses 22 Total hours : 8:43:37 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 :

    Definitions of Statistics, Organizing Data Categorical Frequency Distributions Grouped Frequency Distributions, Stem and Leaf Plots, The Mean-Median- Mode Deciles-Quartiles-and Percentiles Geometric Mean and Weighted Mean, Measures of Variability, Coefficient of Variation, Skewness and Measures of Skewness, Sample Spaces and Probability, Definition of Probability, The Multiplication Rules and Conditional Probability, Counting Rules, Probability and Counting Rules, Conditional Probability and Bayes Theorem, Independent Event.



  • Target Group :

    *Academic Level : Academic University Student
    * Speciality : Mathematics
    * Material : Principles of Statistics and Probability (STAT 121)
    * University Name : Najran University



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Total Lessonses 22 Total Hours 8:43:37 Duration Of Course 17 weeks
Definitions of Statistics
1 Lessons 0:20:08
Introduction to Statistics
0:20:08
Show
Recorded Session
Organizing Data Categorical Frequency Distributions Grouped 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
Stem and Leaf Plots
1 Lessons 0:18:21
Stem and Leaves Diagrams
0:18:21
Closed
Recorded Session
The Mean,Median , Mode Deciles, Quartiles, and Percentiles Geometric Mean and Weighted Mean
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
Skewness and Measures of Skewness
1 Lessons 0:21:56
Skewed and Symmetric
0:21:56
Closed
Recorded Session
Sample Spaces and Probability
1 Lessons 0:19:39
Probability
0:19:39
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
The Multiplication Rules and Conditional Probability
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
Counting Rules
1 Lessons 0:25:11
‏Permutation and Combination
0:25:11
Closed
Recorded Session
Probability and Counting Rules
1 Lessons 0:18:50
Probability and Counting Rules
0:18:50
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
Independent Event
1 Lessons 0:21:25
Fundamental Theorem of Probability
0:21:25
Closed
Recorded Session
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Speciality : Mathematics

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Saad IBRAHIM Aleidi
very good

علي محمد كمال
good job