General Statistics (MATH 161)

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

Total Lessonses 43 Total hours : 17:22:17 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 and Organization and Presentation of Statistical Data, Frequency Distributions, Representing Frequency Tables and Statistics Graphs, Central Tendency of The Simple Data and the Frequency Distribution, The Range- The Variance and The Standard Deviation, Correlations (Pearson, Spearman), Sample Space and Events, Sets and Operations on Sets, Counting Techniques, Fundamental Basics of Probability, Addition Rule, Conditional Probability and Independence of Events and Bayes Theorem and Its Applications, Discrete Random Variable, Continuous Random Variable, Confidence Intervals, Normal Distributions, Testing Hypotheses.



  • Target Group :

    *Academic Level : Academic University Student
    * Speciality : Mathematics
    * Material : General Statistics (MATH 161)
    * University Name : Princess Nourah Bint Abdulrahman University



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Total Lessonses 43 Total Hours 17:22:17 Duration Of Course 17 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
Frequency Distributions
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
Representing Frequency Tables and Statistics 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
Centaral Tendency 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 , 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
Correlations (Pearson, Spearman)
3 Lessons 0:52:46
Pearson and Superman Regression
0:19:26
Closed
Recorded Session
The Correlations
0:08:27
Closed
Recorded Session
Poison Probability Distribution Correlations
0:24:53
Closed
Recorded Session
Sets and Operations on Sets
1 Lessons 0:24:32
‏Sets
0:24:32
Closed
Recorded Session
Sample Space and Events
2 Lessons 0:28:40
Probability
0:19:39
Closed
Recorded Session
Calculating Probability for Addition
0:09:01
Closed
Recorded Session
Counting Techniques
2 Lessons 0:44:01
‏Permutation and Combination
0:25:11
Closed
Recorded Session
Probability and Counting Rules
0:18:50
Closed
Recorded Session
Fundamental Basics of Probability
3 Lessons 1:05:43
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
Fundamental Theorem of Probability
0:21:25
Closed
Recorded Session
Addition 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
Conditional Probability and Independence of Events 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 3
0:20:45
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
Normal Distributions
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
Chebychaves Inequality
1 Lessons 0:04:03
‏Chebychaves Inequality
0:04:03
Closed
Recorded Session
Confidence Interval Estimation
1 Lessons 0:18:22
Confidence Interval Estimation
0:18:22
Closed
Recorded Session
Confidence Interval on the Difference in Mean Variance Unknown
1 Lessons 0:09:11
Confidence Interval on the Difference in Mean Variance Unknown
0:09:11
Closed
Recorded Session
Introduction of Hypothesis Testing
1 Lessons 0:12:46
Introduction of Hypothesis Testing
0:12:46
Closed
Recorded Session
Estimation of Two Means
1 Lessons 0:15:15
Estimation of Two Means
0:15:15
Closed
Recorded Session
Estimation of Mean and Proportion
1 Lessons 0:11:08
Estimation of Mean and Proportion
0:11:08
Closed
Recorded Session
Comparing Two Proportions
1 Lessons 0:17:40
Comparing Two Proportions
0:17:40
Closed
Recorded Session
Inference in Two Population
1 Lessons 0:10:07
Inference in Two Population
0:10:07
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
Two-Sample Proportional Inferences
1 Lessons 0:14:29
Two-Sample Proportional Inferences
0:14:29
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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Saad IBRAHIM Aleidi
very good

علي محمد كمال
good job