General Statistics (STAT 110)

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

Total Lessonses 31 Total hours : 13:02:25 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 :

    Introduction to Statistics, Organizing Data, Histogram-Frequency- Polygons-and Ogives, Measures of Central Tendency, Measures of Variations, Measures of Positions, Data Analysis, Sample Space and Probability, The Addition Rules of Probability, Counting Rules and Conditional Probability, Counting Rules, Probability Distribution-Mean Variance-Standard Deviation-and Expectations, Binomial Distribution, Regressions, Spearman Coloration, Spearman Rank Correlation, Normal Distribution and Applications, The Central Limit Theorem.




  • Target Group :

    *Academic Level : Academic University Student
    * Speciality : Mathematics
    * Material : General Statistics (STAT 110)
    * University Name : King Abdulaziz University




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Total Lessonses 31 Total Hours 13:02:25 Duration Of Course 17 weeks
Introduction to Statistics
1 Lessons 0:20:08
Introduction to Statistics
0:20:08
Show
Recorded Session
Organizing Data
2 Lessons 0:38:57
Organizing Data Part 1
0:25:07
Show
Recorded Session
Organizing Data Part 2
0:13:50
Show
Recorded Session
Histogram, Frequency Polygons, and Ogives
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 Variations
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
Measures of Positions
1 Lessons 0:09:07
Measures of Position
0:09:07
Closed
Recorded Session
Sample Space and Probability
1 Lessons 0:19:39
Probability
0:19:39
Closed
Recorded Session
The Addition Rules of Probability
2 Lessons 0:48:05
Definition and Concept of Probabbility Part 1
0:30:11
Closed
Recorded Session
Definition and Concept of Probability Part 2
0:14:07
Closed
Recorded Session
Counting Rules
2 Lessons 0:56:29
Permutation and combination
0:25:11
Closed
Recorded Session
Counting Rule and Probability
0:31:18
Closed
Recorded Session
Conditional Probability
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
0:24:16
Closed
Recorded Session
Conditional Probability and Independence Events Part 3
0:20:45
Closed
Recorded Session
Binomial Distribution
1 Lessons 0:15:38
Binomial Probability Distribution
0:15:38
Closed
Recorded Session
Bernoulli Trails
1 Lessons 0:13:10
Bernoulli Trails
0:13:10
Closed
Recorded Session
Spearman Rank Correlation
1 Lessons 0:19:26
Pearson and Superman Regression
0:19:26
Closed
Recorded Session
Regressions
2 Lessons 0:26:35
Linear Regression
0:08:37
Closed
Recorded Session
Linear Regression and Correlations
0:17:58
Closed
Recorded Session
Spearman Coloration
1 Lessons 0:24:53
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
Normal Distribution and Applications
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
The Central Limit Theorem
2 Lessons 0:34:47
Central Limit Theorem Finding Part 1
0:17:20
Closed
Recorded Session
Central Limit Theorem Finding Part 2
0:17:27
Closed
Recorded Session
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Academic University Student


Speciality : Mathematics

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Saad IBRAHIM Aleidi
very good

علي محمد كمال
good job