Probability and Statistics (STAT 204)

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

Total Lessonses 40 Total hours : 14:58:77 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 :

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




  • Target Group :

    *Academic Level : Academic University Student
    * Speciality : Mathematics
    * Material : Probability and Statistics (STAT 204)
    * University Name : Northern Border University




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Total Lessonses 40 Total Hours 14:58:77 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
Graphing 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
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
2 Lessons 0:04:03
Coefficient of Variations
0:04:03
Closed
Recorded Session
Chebychaves Inequality
0:04:03
Closed
Recorded Session
Linear Regression Models
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
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
Probability and Counting Rules
1 Lessons 0:31:18
Counting Rule and Probability
0:31:18
Closed
Recorded Session
The Addition Rules for Probability
3 Lessons 0:53:19
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
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
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
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 0:22:51
Binomial Probability Distribution
0:15:38
Closed
Recorded Session
The Negative Binomial Distribution
0:07:13
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
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Speciality : Mathematics

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Saad IBRAHIM Aleidi
very good

علي محمد كمال
good job