Statistics and Probability (MTH 281)

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

Total Lessonses 39 Total hours : 14:58:08 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 General View of Statistics, Organization and Presentation of Statistical Data, Measures of Central Tendency Mean-Median and mode of The Simple Data and the Frequency Distribution, The Range and The Variance and the Standard Deviation, Coefficient of Variation of The Simple Data and The Frequency Distribution, Moments and Measure of Skewness and Kurtosis, Linear Regression and Correlation Applications and Pearson Regression, Sample Space and Events, Counting Techniques Fundamental Basics, Addition Rule, Definition of the Probability and Its Applications, Conditional Probability and Bayes Theorem and Its Applications, Discrete Random Variables Functions, Continuous Random Variables Functions, Bernoulli Distribution and Binomial Distribution, Binomial and Poisson, Z – Score, Normal Distribution.



  • Target Group :

    *Academic Level : Academic University Student
    * Speciality : Mathematics
    * Material : Statistics and Probability (MTH 281)
    * University Name : Jouf University



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Total Lessonses 39 Total Hours 14:58:08 Duration Of Course 17 weeks
Definition and General View of Statistics
1 Lessons 0:20:08
Introduction to statistics
0:20:08
Show
Recorded Session
Organization and Presentation of Statistical 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
Measures of Central Tendency Mean ,Median and mode of The Simple Data and the Frequency Distribution
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
The Range and The 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 of The Simple Data and The Frequency Distribution
1 Lessons 0:04:03
Chebychaves inequality
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
Poison Distribution
1 Lessons 0:14:14
Poison Distribution
0:14:14
Closed
Recorded Session
Linear Regression and Correlation Applications and Pearson Regression
1 Lessons 0:24:53
poison probability distribution correlations
0:24:53
Closed
Recorded Session
Linear Regression
1 Lessons 0:08:37
Linear Regression
0:08:37
Closed
Recorded Session
Linear Regression and Correlations
1 Lessons 0:17:58
Linear Regression and Correlations
0:17:58
Closed
Recorded Session
The Correlations
1 Lessons 0:08:27
The Correlations
0:08:27
Closed
Recorded Session
Sample Space and Events
3 Lessons 0:47:30
Probability
0:19:39
Closed
Recorded Session
Probability and Counting Rules
0:18:50
Closed
Recorded Session
Calculating Probability for Addition
0:09:01
Closed
Recorded Session
Counting Techniques Fundamental Basics
2 Lessons 0:56:29
Permutation and combination
0:25:11
Closed
Recorded Session
Counting Rule and Probability
0:31:18
Closed
Recorded Session
Addition Rule
5 Lessons 1:53:48
Definition and Concept of Probability Part 1
0:30:11
Closed
Recorded Session
Definition and Concept of Probability Part 2
0:14:07
Closed
Recorded Session
Addition and Multiplication Rules part 1
0:23:49
Closed
Recorded Session
Addition and Multiplication Rules part 2
0:24:16
Closed
Recorded Session
Fundamental Theorem of Probability
0:21:25
Closed
Recorded Session
Conditional Probability and Bayes Theorem 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
Discrete Random Variables Functions
1 Lessons 0:20:10
Discrete Probabilitu Distributions
0:20:10
Closed
Recorded Session
Continuous Random Variables Functions
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
Probability Distributions
1 Lessons 0:22:12
Probability Distributions
0:22:12
Closed
Recorded Session
Bernoulli Distribution and Binomial Distribution
1 Lessons 0:13:10
Bernoulli Trails
0:13:10
Closed
Recorded Session
Binomial Probability Distribution
1 Lessons 0:15:38
Binomial Probability Distribution
0:15:38
Closed
Recorded Session
Poison Distribution
1 Lessons 0:14:14
Poison Distribution
0:14:14
Closed
Recorded Session
The Negative Binomial Distribution
1 Lessons 0:07:13
The Negative Binomial Distribution
0:07:13
Closed
Recorded Session
Z – Score
1 Lessons 0:25:13
Z _Score
0:25:13
Closed
Recorded Session
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
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Saad IBRAHIM Aleidi
very good

علي محمد كمال
good job