Probability and Statistics (STT 103)

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

Total Lessonses 50 Total hours : 18:28:17 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 :

    Variables and Types of Data, Data Collection and Sampling Techniques, Organizing Data Categorical Frequency Distributions Grouped Frequency Distributions, Box Blot, Stem and Leaves Diagrams, The Mean, Median and Mode and Weighted Mean, Range, Variance and Standard Deviation, Coefficient of Variation, Pearson and Superman Regression, Linear Regression Models, Least Square and Fitted Model, Sample Spaces and Probability, Counting Rules, Probability and Counting Rules, The Addition Rules for Probability, The Multiplication Rules and Conditional Probability, Desecrate and Continuous Random Variables Distributions, Probability Distributions and Bernoulli Trails, The Binomial Distribution, Poison Distribution, Finding Areas Under the Standard Normal Distribution Curve, Type One Testing Hypothesis, Central Limit Theorem, Estimation of Mean and Proportion, Sampling Statistics as Estimation of Mean.




  • Target Group :

    *Academic Level : Academic University Student
    * Speciality : Mathematics
    * Material : Probability and Statistics (STT 103)
    * University Name : Al-Yamamah University




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Total Lessonses 50 Total Hours 18:28:17 Duration Of Course 17 weeks
Variables and Types of Data
1 Lessons 0:20:08
Introduction to Statistics
0:20:08
Show
Recorded Session
Data Collection and Sampling Techniques
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
Data Categorical Frequency Distributions Grouped Frequency Distributions
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
Box Blot
1 Lessons 0:04:54
Box Blot
0:04:54
Closed
Recorded Session
Stem and Leaves Diagrams
1 Lessons 0:18:21
Stem and Leaves Diagrams
0:18:21
Closed
Recorded Session
The Mean , Median and Mode 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 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
Coefficient of Variation
2 Lessons 0:04:03
Coefficient of Variations
0:04:03
Closed
Recorded Session
‏Chebychaves Inequality
0:04:03
Closed
Recorded Session
Pearson and Superman Regression
1 Lessons 0:19:26
Pearson and Superman Regression
0:19:26
Closed
Recorded Session
Linear Regression
5 Lessons 2:29:14
Pearson and Superman Regression
0:19:26
Closed
Recorded Session
Poisson Distributions
0:14:14
Closed
Recorded Session
poison probability distribution
0:24:53
Closed
Recorded Session
Linear Regression
0:08:37
Closed
Recorded Session
Linear Regression and Correlations
0:17:58
Closed
Recorded Session
Sample Spaces and Probability
2 Lessons 0:45:19
Diagram of the Sample Space
0:25:40
Closed
Recorded Session
Probability
0:19:39
Closed
Recorded Session
Counting Rules
2 Lessons 0:44:01
‏Permutation and Combination
0:25:11
Closed
Recorded Session
Probability and Counting Rules
0:18:50
Closed
Recorded Session
Probability and Counting Rules
2 Lessons 0:52:43
Counting Rule and Probability
0:31:18
Closed
Recorded Session
Fundamental Theorem of Probability
0:21:25
Closed
Recorded Session
The Addition Rules for Probability
3 Lessons 0:39:12
Definition and Concept of Probability Part 1
0:30:11
Closed
Recorded Session
Definition and Concept of Probabbility Part 2
0:14:07
Closed
Recorded Session
Calculating Probability For Addition
0:09:01
Closed
Recorded Session
The Multiplication Rules and Conditional Probability
5 Lessons 2:05:35
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 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
Desecrate and Continuous Random Variables Distributions
3 Lessons 1:07:50
Discrete Probabilitu Distributions
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
Probability Distributions and Bernoulli Trails
2 Lessons 0:35:22
Probability Distributions
0:22:12
Closed
Recorded Session
Bernoulli Trails
0:13:10
Closed
Recorded Session
The Binomial Distribution
2 Lessons 0:25:51
The Binomial Probability Distribution
0:15:38
Closed
Recorded Session
The Negative Binomial Distribution
0:07:13
Closed
Recorded Session
Poison Distribution
1 Lessons 0:14:14
Poison Distribution
0:14:14
Closed
Recorded Session
Finding Areas Under the Standard Normal Distribution Curve
3 Lessons 1:18:22
Z _Score
0:25:13
Closed
Recorded Session
The Normal Distribution Part 1
0:29:10
Closed
Recorded Session
The Normal Distribution Part 2
0:23:59
Closed
Recorded Session
Type One Testing Hypothesis
1 Lessons 0:12:46
Introduction of Hypothesis Testing
0:12:46
Closed
Recorded Session
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
Estimation of Mean and Proportion
1 Lessons 0:11:08
Estimation of Mean and Proportion
0:11:08
Closed
Recorded Session
Sampling Statistics as Estimation of Mean
1 Lessons 0:18:00
Sampling Statistics as Estimation of Mean
0:18:00
Closed
Recorded Session
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Speciality : Mathematics

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Saad IBRAHIM Aleidi
very good

علي محمد كمال
good job