Statistics and Probability (STAT 116)

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

Total Lessonses 43 Total hours : 18:14:00 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 Categorical Frequency Distributions Grouped Frequency Distributions, Relative Frequency Graphs, Stem and Leaf Plots, The Mean- Median- and Mode, The Weighted Mean, Distribution Shapes, Range- Variance and Standard Deviation, Coefficient of Variation, Calculate Pearson's Simple Linear Correlation Coefficient, Determine The Simple Linear Regression Equation, Sample Spaces and Probability, The Addition Rules for Probability, The Multiplication Rules and Conditional Probability, Counting Rules and Probability, Probability Distributions Mean-Variance and Standard Deviation, The Binomial Distribution, Finding Areas Under the Standard Normal Distribution Curve, Testing Hypothesis.



  • Target Group :

    *Academic Level : Academic University Student
    * Speciality : Mathematics
    * Material : Statistics and Probability (STAT 116)
    * University Name : Taif University



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Total Lessonses 43 Total Hours 18:14:00 Duration Of Course 17 weeks
Introduction to Statistics
1 Lessons 0:20:08
Introduction to Statistics
0:20:08
Show
Recorded Session
The Where ,Why,and How
1 Lessons 0:31:17
The Where ,Why,and How
0:31:17
Show
Recorded Session
Organization of 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
Closed
Recorded Session
Relative Frequency Graphs
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
Stem and Leaf Plots
1 Lessons 0:18:21
Stem and Leaves Diagrams
0:18:21
Closed
Recorded Session
The Mean , Median , and mode
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 Weighted Mean
1 Lessons 0:46:54
Measures of Centre and Locations
0:46:54
Closed
Recorded Session
Distribution Shapes
1 Lessons 0:21:56
Skewed and Symmetric
0:21:56
Closed
Recorded Session
Range , Variance and 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
Calculate Pearson's Simple Linear Correlation Coefficient
3 Lessons 0:52:56
Pearson and Superman Regression
0:19:26
Closed
Recorded Session
poison probability distribution correlations
0:24:53
Closed
Recorded Session
Linear Regression
0:08:37
Closed
Recorded Session
Determine The Simple Linear Regression Equation
1 Lessons 0:17:58
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 and Probability
2 Lessons 0:56:29
Permutation and combination
0:25:11
Closed
Recorded Session
Counting Rule and Probability
0:31:18
Closed
Recorded Session
Probability and Counting Rules
1 Lessons 0:18:50
Probability and Counting Rules
0:18:50
Closed
Recorded Session
The Addition Rules for Probability
5 Lessons 1:41:24
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
Calculating Probability for Addition
0:09:01
Closed
Recorded Session
The Multiplication Rules and 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
0:25:26
Closed
Recorded Session
Conditional Probability and Independence Events Part 3
0:20:45
Closed
Recorded Session
Fundamental Theorem of Probability
1 Lessons 0:21:25
Fundamental Theorem of Probability
0:21:25
Closed
Recorded Session
Probability Distributions Mean, Variance and Standard Deviation
3 Lessons 1:07:50
Discrete Probability 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
The Binomial Distribution
2 Lessons 0:28:48
Bernoulli Trails
0:15:38
Closed
Recorded Session
Binomial Probability Distribution
0:15:38
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
Testing Hypothesis
1 Lessons 0:12:46
Introduction of Hypothesis Testing
0:12:46
Closed
Recorded Session
Hypothesis Tests for Difference Variance
1 Lessons 0:12:36
Hypothesis Tests for Difference Variance
0:12:36
Closed
Recorded Session
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Speciality : Mathematics

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Saad IBRAHIM Aleidi
very good

علي محمد كمال
good job