General Statistics (STAT 100)

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

Total Lessonses 26 Total hours : 10:32:13 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 of Statistics - Collecting and Presenting Data, Frequency Distributions - Graphical Representation of Data, Measures of Central Tendency, Measures of Variability, Principles of Probability, Randomized Experiment Blank Sample Event, Calculating Probability, Laws of Addition and Multiplication, Conditional Probability- Bayes Theorem and Independence, Random Variables and Probability Distributions, Expected value- Some Probability Distributions, Estimate the Population Mean and Proportion in the Population.




  • Target Group :

    *Academic Level : Academic University Student
    * Speciality : Mathematics
    * Material : General Statistics (STAT 100)
    * University Name : University of Jeddah




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Student Assignments

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Total Lessonses 26 Total Hours 10:32:13 Duration Of Course 17 weeks
Definition of Statistics - Collecting and Presenting Data
1 Lessons 0:20:08
Introduction to Statistics
0:20:08
Show
Recorded Session
Frequency Distributions - Graphical Representation of Data
4 Lessons 1:19:23
Organization of Data Part 1
0:25:07
Show
Recorded Session
Organization of Data Part 2
0:13:50
Show
Recorded Session
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
Principles of Probability
1 Lessons 0:19:39
Probability
0:19:39
Closed
Recorded Session
Randomized Experiment Blank Sample Event
1 Lessons 0:25:40
Diagram of the Sample Space
0:25:40
Closed
Recorded Session
Calculating 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
Laws of Addition and Multiplication
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
Conditional Probability , Bayes Theorem and Independence
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
Random Variables and Probability Distributions
3 Lessons 1:07:50
Discrete Random Variables
0:20:10
Closed
Recorded Session
Continous Random Varible Distribution Part 1
0:31:00
Closed
Recorded Session
Continous Random Varible Distribution Part 2
0:16:40
Closed
Recorded Session
Expected Value, Some Probability Distributions
1 Lessons 0:13:10
Bernoulli Trails
0:13:10
Closed
Recorded Session
Estimate the Population Mean and Proportion in the Population
1 Lessons 0:11:08
Estimation of Mean and Proportion
0:11:08
Closed
Recorded Session
Binomial Probability Distribution
1 Lessons 0:15:38
Binomial Probability Distribution
0:15:38
Closed
Recorded Session
Poison Probability Distribution
1 Lessons 0:24:53
Poison Probability Distribution
0:24:53
Closed
Recorded Session
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Academic University Student


Speciality : Mathematics

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Student ratings and comments

Saad IBRAHIM Aleidi
very good

علي محمد كمال
good job