Principles of Statistics and Probability (MTH 1501)

Data collection, summarization, correlation, regression, probability, sampling, estimation, tests of significance.

Total Lessonses 32 Total hours : 11:60:22 Duration Of Course 16 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 :

    Definition and General View of Statistics and Organization and Presentation of Statistical Data, Graphs, Mean-Median-Mode, The Range-Variance and The Standard Deviation, Coefficient of Variation, Moments and Measure of Skewness and Kurtosis, Correlation Measures(Person, Spearman), Simple Linear Regression, Sample Space and Events, Counting Techniques, Fundamental Basics of Probability, Addition Rule, Multiplication Rule, Permutation and Combinations, Definition of The Probability and Its Applications, Conditional Probability and Bayes Theorem, Estimate The Population Parameter by The Statistic, Discrete Random Variable, Continuous Random Variable.



  • Target Group :

    *Academic Level : Academic University Student
    * Speciality : Mathematics
    * Material : Principles of Statistics and Probability (MTH 1501)
    * University Name : Umm Al-Qura University



  • Suggested courses:

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Total Lessonses 32 Total Hours 11:60:22 Duration Of Course 16 weeks
Definition and General View of Statistics and Organization and Presentation of Statistical Data
1 Lessons 0:20:08
Introduction to Statistics
0:20:08
Show
Recorded Session
Graphs
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
The Mean , The Median , Mode and The Weighted Mean part 1
0:23:59
Closed
Recorded Session
The Mean , The Median , Mode and The Weighted Mean part 2
0:25:57
Closed
Recorded Session
The Mean , The Median , Mode and The Weighted Mean part 3
0:13:11
Closed
Recorded Session
The Range , Variance and The Standard Deviation
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
Moments and Measure of Skewness and Kurtosis
1 Lessons 0:21:56
Skewed and Symmetric
0:21:56
Closed
Recorded Session
Correlation Measures(Person, Spearman)
1 Lessons 0:24:53
Poison Probability Distribution Correlations
0:24:53
Closed
Recorded Session
Simple Linear Regression
1 Lessons 0:08:37
Linear Regression
0:08:37
Closed
Recorded Session
Sample Space and Events
1 Lessons 0:19:39
Probability
0:19:39
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
Permutation and Combinations
2 Lessons 0:50:08
Probability and Counting Rules
0:18:50
Closed
Recorded Session
Counting Rule and Probability
0:31:18
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
Estimate The Population Parameter by The Statistic
2 Lessons 0:26:23
Estimation of Mean and Proportion
0:11:08
Closed
Recorded Session
Estimation of Two Means
0:15:15
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
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Speciality : Mathematics

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Saad IBRAHIM Aleidi
very good

علي محمد كمال
good job